Warning: Permanently added '34.235.129.125' (ED25519) to the list of known hosts. Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-tyga7il2/R-CRAN-adelie/R-CRAN-adelie.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-tyga7il2/R-CRAN-adelie --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1718673815.729950 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.6 starting (python version = 3.12.1, NVR = mock-5.6-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-tyga7il2/R-CRAN-adelie/R-CRAN-adelie.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-tyga7il2/R-CRAN-adelie --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1718673815.729950 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-tyga7il2/R-CRAN-adelie/R-CRAN-adelie.spec) Config(fedora-39-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.6 INFO: Mock Version: 5.6 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-1718673815.729950/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf detected and used (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.19.2-1.fc39.noarch python3-dnf-plugins-core-4.6.0-1.fc39.noarch yum-4.19.2-1.fc39.noarch dnf5-5.1.17-1.fc39.x86_64 dnf5-plugins-5.1.17-1.fc39.x86_64 Start: installing minimal buildroot with dnf No matches found for the following disable plugin patterns: local, spacewalk, versionlock Updating Subscription Management repositories. Unable to read consumer identity This system is not registered with an entitlement server. You can use subscription-manager to register. Copr repository 278 MB/s | 26 MB 00:00 fedora 70 MB/s | 89 MB 00:01 updates 55 MB/s | 38 MB 00:00 Last metadata expiration check: 0:00:03 ago on Tue Jun 18 01:23:55 2024. Dependencies resolved. ================================================================================ Package Arch Version Repo Size ================================================================================ Installing group/module packages: bash x86_64 5.2.26-1.fc39 updates 1.8 M bzip2 x86_64 1.0.8-16.fc39 fedora 52 k coreutils x86_64 9.3-5.fc39 updates 1.1 M cpio x86_64 2.14-4.fc39 fedora 279 k diffutils x86_64 3.10-3.fc39 fedora 398 k fedora-release-common noarch 39-36 updates 19 k findutils x86_64 1:4.9.0-5.fc39 fedora 492 k gawk x86_64 5.2.2-2.fc39 fedora 1.1 M glibc-minimal-langpack x86_64 2.38-18.fc39 updates 73 k grep x86_64 3.11-3.fc39 fedora 298 k gzip x86_64 1.12-6.fc39 fedora 166 k info x86_64 7.0.3-3.fc39 fedora 182 k patch x86_64 2.7.6-22.fc39 fedora 125 k redhat-rpm-config noarch 266-1.fc39 updates 78 k rpm-build x86_64 4.19.1.1-1.fc39 updates 78 k sed x86_64 4.8-14.fc39 fedora 306 k shadow-utils x86_64 2:4.14.0-2.fc39 updates 1.3 M tar x86_64 2:1.35-2.fc39 fedora 864 k unzip x86_64 6.0-62.fc39 fedora 184 k util-linux x86_64 2.39.4-1.fc39 updates 1.2 M which x86_64 2.21-40.fc39 fedora 42 k xz x86_64 5.4.4-1.fc39 fedora 556 k Installing dependencies: alternatives x86_64 1.26-1.fc39 updates 39 k ansible-srpm-macros noarch 1-12.fc39 updates 21 k audit-libs x86_64 3.1.3-1.fc39 updates 124 k authselect x86_64 1.4.3-1.fc39 fedora 149 k authselect-libs x86_64 1.4.3-1.fc39 fedora 249 k basesystem noarch 11-18.fc39 fedora 7.2 k binutils x86_64 2.40-14.fc39 updates 5.6 M binutils-gold x86_64 2.40-14.fc39 updates 795 k bzip2-libs x86_64 1.0.8-16.fc39 fedora 41 k ca-certificates noarch 2023.2.60_v7.0.306-2.fc39 fedora 837 k coreutils-common x86_64 9.3-5.fc39 updates 2.1 M cracklib x86_64 2.9.11-2.fc39 fedora 94 k crypto-policies noarch 20231204-1.git1e3a2e4.fc39 updates 100 k curl x86_64 8.2.1-5.fc39 updates 344 k cyrus-sasl-lib x86_64 2.1.28-11.fc39 fedora 793 k debugedit x86_64 5.0-12.fc39 updates 79 k dwz x86_64 0.15-3.fc39 fedora 134 k ed x86_64 1.19-4.fc39 fedora 79 k efi-srpm-macros noarch 5-9.fc39 fedora 22 k elfutils x86_64 0.191-2.fc39 updates 559 k elfutils-debuginfod-client x86_64 0.191-2.fc39 updates 38 k elfutils-default-yama-scope noarch 0.191-2.fc39 updates 13 k elfutils-libelf x86_64 0.191-2.fc39 updates 209 k elfutils-libs x86_64 0.191-2.fc39 updates 263 k fedora-gpg-keys noarch 39-2 updates 130 k fedora-release noarch 39-36 updates 8.6 k fedora-release-identity-basic noarch 39-36 updates 9.4 k fedora-repos noarch 39-2 updates 9.3 k file x86_64 5.44-5.fc39 fedora 49 k file-libs x86_64 5.44-5.fc39 fedora 729 k filesystem x86_64 3.18-6.fc39 fedora 1.1 M fonts-srpm-macros noarch 1:2.0.5-12.fc39 fedora 26 k forge-srpm-macros noarch 0.3.1-1.fc39 updates 19 k fpc-srpm-macros noarch 1.3-8.fc39 fedora 7.4 k gdb-minimal x86_64 14.2-1.fc39 updates 4.3 M gdbm-libs x86_64 1:1.23-4.fc39 fedora 56 k ghc-srpm-macros noarch 1.6.1-2.fc39 fedora 7.8 k glibc x86_64 2.38-18.fc39 updates 2.2 M glibc-common x86_64 2.38-18.fc39 updates 353 k glibc-gconv-extra x86_64 2.38-18.fc39 updates 1.6 M gmp x86_64 1:6.2.1-5.fc39 fedora 313 k gnat-srpm-macros noarch 6-3.fc39 fedora 8.8 k go-srpm-macros noarch 3.5.0-1.fc39 updates 28 k jansson x86_64 2.13.1-7.fc39 fedora 44 k kernel-srpm-macros noarch 1.0-20.fc39 fedora 10 k keyutils-libs x86_64 1.6.3-1.fc39 updates 31 k krb5-libs x86_64 1.21.2-3.fc39 updates 765 k libacl x86_64 2.3.1-9.fc39 updates 23 k libarchive x86_64 3.7.1-2.fc39 updates 407 k libattr x86_64 2.5.1-8.fc39 fedora 18 k libblkid x86_64 2.39.4-1.fc39 updates 116 k libbrotli x86_64 1.1.0-1.fc39 fedora 336 k libcap x86_64 2.48-9.fc39 updates 68 k libcap-ng x86_64 0.8.3-8.fc39 fedora 32 k libcom_err x86_64 1.47.0-2.fc39 fedora 26 k libcurl x86_64 8.2.1-5.fc39 updates 322 k libdb x86_64 5.3.28-56.fc39 fedora 760 k libeconf x86_64 0.5.2-2.fc39 updates 30 k libevent x86_64 2.1.12-9.fc39 fedora 258 k libfdisk x86_64 2.39.4-1.fc39 updates 161 k libffi x86_64 3.4.4-4.fc39 fedora 40 k libgcc x86_64 13.3.1-1.fc39 updates 118 k libgomp x86_64 13.3.1-1.fc39 updates 328 k libidn2 x86_64 2.3.7-1.fc39 updates 119 k libmount x86_64 2.39.4-1.fc39 updates 154 k libnghttp2 x86_64 1.55.1-5.fc39 updates 75 k libnsl2 x86_64 2.0.0-6.fc39 fedora 30 k libpkgconf x86_64 1.9.5-2.fc39 fedora 38 k libpsl x86_64 0.21.2-4.fc39 fedora 63 k libpwquality x86_64 1.4.5-6.fc39 fedora 120 k libselinux x86_64 3.5-5.fc39 fedora 87 k libsemanage x86_64 3.5-4.fc39 fedora 120 k libsepol x86_64 3.5-2.fc39 fedora 324 k libsigsegv x86_64 2.14-5.fc39 fedora 27 k libsmartcols x86_64 2.39.4-1.fc39 updates 67 k libssh x86_64 0.10.6-2.fc39 updates 212 k libssh-config noarch 0.10.6-2.fc39 updates 9.0 k libstdc++ x86_64 13.3.1-1.fc39 updates 869 k libtasn1 x86_64 4.19.0-3.fc39 fedora 74 k libtirpc x86_64 1.3.4-1.rc3.fc39 updates 93 k libtool-ltdl x86_64 2.4.7-7.fc39 fedora 36 k libunistring x86_64 1.1-5.fc39 fedora 543 k libutempter x86_64 1.2.1-10.fc39 fedora 26 k libuuid x86_64 2.39.4-1.fc39 updates 28 k libverto x86_64 0.3.2-6.fc39 fedora 20 k libxcrypt x86_64 4.4.36-2.fc39 fedora 119 k libxml2 x86_64 2.10.4-3.fc39 fedora 701 k libzstd x86_64 1.5.6-1.fc39 updates 312 k lua-libs x86_64 5.4.6-3.fc39 fedora 133 k lua-srpm-macros noarch 1-13.fc39 updates 8.7 k lz4-libs x86_64 1.9.4-4.fc39 fedora 67 k mpfr x86_64 4.2.0-3.fc39 fedora 344 k ncurses-base noarch 6.4-7.20230520.fc39.1 updates 88 k ncurses-libs x86_64 6.4-7.20230520.fc39.1 updates 336 k ocaml-srpm-macros noarch 8-2.fc39 fedora 14 k openblas-srpm-macros noarch 2-14.fc39 fedora 7.5 k openldap x86_64 2.6.7-1.fc39 updates 254 k openssl-libs x86_64 1:3.1.1-4.fc39 fedora 2.2 M p11-kit x86_64 0.25.3-1.fc39 updates 520 k p11-kit-trust x86_64 0.25.3-1.fc39 updates 140 k package-notes-srpm-macros noarch 0.5-9.fc39 fedora 11 k pam x86_64 1.5.3-3.fc39 updates 542 k pam-libs x86_64 1.5.3-3.fc39 updates 56 k pcre2 x86_64 10.42-1.fc39.2 fedora 233 k pcre2-syntax noarch 10.42-1.fc39.2 fedora 143 k perl-srpm-macros noarch 1-51.fc39 fedora 8.0 k pkgconf x86_64 1.9.5-2.fc39 fedora 42 k pkgconf-m4 noarch 1.9.5-2.fc39 fedora 14 k pkgconf-pkg-config x86_64 1.9.5-2.fc39 fedora 9.6 k popt x86_64 1.19-3.fc39 fedora 66 k publicsuffix-list-dafsa noarch 20240107-1.fc39 updates 58 k pyproject-srpm-macros noarch 1.12.0-1.fc39 updates 14 k python-srpm-macros noarch 3.12-4.fc39 fedora 25 k qt5-srpm-macros noarch 5.15.13-1.fc39 updates 8.5 k qt6-srpm-macros noarch 6.6.2-1.fc39 updates 8.9 k readline x86_64 8.2-6.fc39 updates 212 k rpm x86_64 4.19.1.1-1.fc39 updates 538 k rpm-build-libs x86_64 4.19.1.1-1.fc39 updates 95 k rpm-libs x86_64 4.19.1.1-1.fc39 updates 312 k rpm-sequoia x86_64 1.6.0-3.fc39 updates 847 k rpmautospec-rpm-macros noarch 0.6.3-1.fc39 updates 10 k rust-srpm-macros noarch 26.3-1.fc39 updates 13 k setup noarch 2.14.4-1.fc39 fedora 154 k sqlite-libs x86_64 3.42.0-7.fc39 fedora 678 k systemd-libs x86_64 254.13-1.fc39 updates 684 k util-linux-core x86_64 2.39.4-1.fc39 updates 507 k xxhash-libs x86_64 0.8.2-1.fc39 fedora 37 k xz-libs x86_64 5.4.4-1.fc39 fedora 108 k zip x86_64 3.0-39.fc39 fedora 266 k zlib x86_64 1.2.13-4.fc39 fedora 94 k zstd x86_64 1.5.6-1.fc39 updates 479 k Installing Groups: Buildsystem building group Transaction Summary ================================================================================ Install 153 Packages Total download size: 52 M Installed size: 179 M Downloading Packages: (1/153): basesystem-11-18.fc39.noarch.rpm 475 kB/s | 7.2 kB 00:00 (2/153): authselect-libs-1.4.3-1.fc39.x86_64.rp 15 MB/s | 249 kB 00:00 (3/153): bzip2-1.0.8-16.fc39.x86_64.rpm 18 MB/s | 52 kB 00:00 (4/153): bzip2-libs-1.0.8-16.fc39.x86_64.rpm 18 MB/s | 41 kB 00:00 (5/153): cpio-2.14-4.fc39.x86_64.rpm 79 MB/s | 279 kB 00:00 (6/153): ca-certificates-2023.2.60_v7.0.306-2.f 120 MB/s | 837 kB 00:00 (7/153): cracklib-2.9.11-2.fc39.x86_64.rpm 16 MB/s | 94 kB 00:00 (8/153): diffutils-3.10-3.fc39.x86_64.rpm 97 MB/s | 398 kB 00:00 (9/153): cyrus-sasl-lib-2.1.28-11.fc39.x86_64.r 89 MB/s | 793 kB 00:00 (10/153): dwz-0.15-3.fc39.x86_64.rpm 36 MB/s | 134 kB 00:00 (11/153): ed-1.19-4.fc39.x86_64.rpm 26 MB/s | 79 kB 00:00 (12/153): efi-srpm-macros-5-9.fc39.noarch.rpm 5.7 MB/s | 22 kB 00:00 (13/153): file-5.44-5.fc39.x86_64.rpm 12 MB/s | 49 kB 00:00 (14/153): filesystem-3.18-6.fc39.x86_64.rpm 113 MB/s | 1.1 MB 00:00 (15/153): file-libs-5.44-5.fc39.x86_64.rpm 34 MB/s | 729 kB 00:00 (16/153): authselect-1.4.3-1.fc39.x86_64.rpm 2.2 MB/s | 149 kB 00:00 (17/153): fonts-srpm-macros-2.0.5-12.fc39.noarc 1.8 MB/s | 26 kB 00:00 (18/153): fpc-srpm-macros-1.3-8.fc39.noarch.rpm 284 kB/s | 7.4 kB 00:00 (19/153): findutils-4.9.0-5.fc39.x86_64.rpm 11 MB/s | 492 kB 00:00 (20/153): ghc-srpm-macros-1.6.1-2.fc39.noarch.r 151 kB/s | 7.8 kB 00:00 (21/153): gdbm-libs-1.23-4.fc39.x86_64.rpm 735 kB/s | 56 kB 00:00 (22/153): gnat-srpm-macros-6-3.fc39.noarch.rpm 167 kB/s | 8.8 kB 00:00 (23/153): gmp-6.2.1-5.fc39.x86_64.rpm 2.9 MB/s | 313 kB 00:00 (24/153): gawk-5.2.2-2.fc39.x86_64.rpm 4.8 MB/s | 1.1 MB 00:00 (25/153): gzip-1.12-6.fc39.x86_64.rpm 3.3 MB/s | 166 kB 00:00 (26/153): grep-3.11-3.fc39.x86_64.rpm 2.0 MB/s | 298 kB 00:00 (27/153): info-7.0.3-3.fc39.x86_64.rpm 2.6 MB/s | 182 kB 00:00 (28/153): jansson-2.13.1-7.fc39.x86_64.rpm 563 kB/s | 44 kB 00:00 (29/153): kernel-srpm-macros-1.0-20.fc39.noarch 439 kB/s | 10 kB 00:00 (30/153): libattr-2.5.1-8.fc39.x86_64.rpm 742 kB/s | 18 kB 00:00 (31/153): libbrotli-1.1.0-1.fc39.x86_64.rpm 18 MB/s | 336 kB 00:00 (32/153): libcom_err-1.47.0-2.fc39.x86_64.rpm 1.1 MB/s | 26 kB 00:00 (33/153): libcap-ng-0.8.3-8.fc39.x86_64.rpm 1.4 MB/s | 32 kB 00:00 (34/153): libdb-5.3.28-56.fc39.x86_64.rpm 26 MB/s | 760 kB 00:00 (35/153): libevent-2.1.12-9.fc39.x86_64.rpm 16 MB/s | 258 kB 00:00 (36/153): libffi-3.4.4-4.fc39.x86_64.rpm 2.5 MB/s | 40 kB 00:00 (37/153): libnsl2-2.0.0-6.fc39.x86_64.rpm 4.7 MB/s | 30 kB 00:00 (38/153): libpkgconf-1.9.5-2.fc39.x86_64.rpm 2.9 MB/s | 38 kB 00:00 (39/153): libpsl-0.21.2-4.fc39.x86_64.rpm 3.3 MB/s | 63 kB 00:00 (40/153): libpwquality-1.4.5-6.fc39.x86_64.rpm 6.3 MB/s | 120 kB 00:00 (41/153): libselinux-3.5-5.fc39.x86_64.rpm 6.3 MB/s | 87 kB 00:00 (42/153): libsepol-3.5-2.fc39.x86_64.rpm 32 MB/s | 324 kB 00:00 (43/153): libsemanage-3.5-4.fc39.x86_64.rpm 6.6 MB/s | 120 kB 00:00 (44/153): libsigsegv-2.14-5.fc39.x86_64.rpm 2.4 MB/s | 27 kB 00:00 (45/153): libtasn1-4.19.0-3.fc39.x86_64.rpm 8.8 MB/s | 74 kB 00:00 (46/153): libutempter-1.2.1-10.fc39.x86_64.rpm 2.9 MB/s | 26 kB 00:00 (47/153): libtool-ltdl-2.4.7-7.fc39.x86_64.rpm 3.6 MB/s | 36 kB 00:00 (48/153): libunistring-1.1-5.fc39.x86_64.rpm 17 MB/s | 543 kB 00:00 (49/153): libxcrypt-4.4.36-2.fc39.x86_64.rpm 5.4 MB/s | 119 kB 00:00 (50/153): libverto-0.3.2-6.fc39.x86_64.rpm 728 kB/s | 20 kB 00:00 (51/153): libxml2-2.10.4-3.fc39.x86_64.rpm 57 MB/s | 701 kB 00:00 (52/153): lua-libs-5.4.6-3.fc39.x86_64.rpm 11 MB/s | 133 kB 00:00 (53/153): lz4-libs-1.9.4-4.fc39.x86_64.rpm 11 MB/s | 67 kB 00:00 (54/153): ocaml-srpm-macros-8-2.fc39.noarch.rpm 888 kB/s | 14 kB 00:00 (55/153): mpfr-4.2.0-3.fc39.x86_64.rpm 20 MB/s | 344 kB 00:00 (56/153): openblas-srpm-macros-2-14.fc39.noarch 187 kB/s | 7.5 kB 00:00 (57/153): package-notes-srpm-macros-0.5-9.fc39. 297 kB/s | 11 kB 00:00 (58/153): patch-2.7.6-22.fc39.x86_64.rpm 5.6 MB/s | 125 kB 00:00 (59/153): pcre2-syntax-10.42-1.fc39.2.noarch.rp 3.9 MB/s | 143 kB 00:00 (60/153): pcre2-10.42-1.fc39.2.x86_64.rpm 5.0 MB/s | 233 kB 00:00 (61/153): openssl-libs-3.1.1-4.fc39.x86_64.rpm 25 MB/s | 2.2 MB 00:00 (62/153): pkgconf-m4-1.9.5-2.fc39.noarch.rpm 1.1 MB/s | 14 kB 00:00 (63/153): perl-srpm-macros-1-51.fc39.noarch.rpm 375 kB/s | 8.0 kB 00:00 (64/153): pkgconf-1.9.5-2.fc39.x86_64.rpm 2.0 MB/s | 42 kB 00:00 (65/153): pkgconf-pkg-config-1.9.5-2.fc39.x86_6 1.2 MB/s | 9.6 kB 00:00 (66/153): popt-1.19-3.fc39.x86_64.rpm 28 MB/s | 66 kB 00:00 (67/153): python-srpm-macros-3.12-4.fc39.noarch 9.3 MB/s | 25 kB 00:00 (68/153): sed-4.8-14.fc39.x86_64.rpm 79 MB/s | 306 kB 00:00 (69/153): setup-2.14.4-1.fc39.noarch.rpm 51 MB/s | 154 kB 00:00 (70/153): unzip-6.0-62.fc39.x86_64.rpm 61 MB/s 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5AC4 18B8 E74C From : /usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-39-primary Key imported successfully Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. Running transaction Running scriptlet: filesystem-3.18-6.fc39.x86_64 1/1 Preparing : 1/1 Installing : libgcc-13.3.1-1.fc39.x86_64 1/153 Running scriptlet: libgcc-13.3.1-1.fc39.x86_64 1/153 Installing : crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 2/153 Running scriptlet: crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 2/153 Installing : fedora-release-identity-basic-39-36.noarch 3/153 Installing : fedora-gpg-keys-39-2.noarch 4/153 Installing : fedora-repos-39-2.noarch 5/153 Installing : fedora-release-common-39-36.noarch 6/153 Installing : fedora-release-39-36.noarch 7/153 Installing : setup-2.14.4-1.fc39.noarch 8/153 warning: /etc/hosts created as /etc/hosts.rpmnew Running scriptlet: setup-2.14.4-1.fc39.noarch 8/153 Installing : filesystem-3.18-6.fc39.x86_64 9/153 Installing : basesystem-11-18.fc39.noarch 10/153 Installing : rust-srpm-macros-26.3-1.fc39.noarch 11/153 Installing : qt6-srpm-macros-6.6.2-1.fc39.noarch 12/153 Installing : qt5-srpm-macros-5.15.13-1.fc39.noarch 13/153 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149/153 Installing : pyproject-srpm-macros-1.12.0-1.fc39.noarch 150/153 Installing : util-linux-2.39.4-1.fc39.x86_64 151/153 Running scriptlet: util-linux-2.39.4-1.fc39.x86_64 151/153 Installing : which-2.21-40.fc39.x86_64 152/153 Installing : info-7.0.3-3.fc39.x86_64 153/153 Running scriptlet: filesystem-3.18-6.fc39.x86_64 153/153 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 153/153 Running scriptlet: authselect-libs-1.4.3-1.fc39.x86_64 153/153 Running scriptlet: rpm-4.19.1.1-1.fc39.x86_64 153/153 Running scriptlet: info-7.0.3-3.fc39.x86_64 153/153 Verifying : authselect-1.4.3-1.fc39.x86_64 1/153 Verifying : authselect-libs-1.4.3-1.fc39.x86_64 2/153 Verifying : basesystem-11-18.fc39.noarch 3/153 Verifying : bzip2-1.0.8-16.fc39.x86_64 4/153 Verifying : bzip2-libs-1.0.8-16.fc39.x86_64 5/153 Verifying : ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 6/153 Verifying : cpio-2.14-4.fc39.x86_64 7/153 Verifying : cracklib-2.9.11-2.fc39.x86_64 8/153 Verifying : cyrus-sasl-lib-2.1.28-11.fc39.x86_64 9/153 Verifying : diffutils-3.10-3.fc39.x86_64 10/153 Verifying : dwz-0.15-3.fc39.x86_64 11/153 Verifying : ed-1.19-4.fc39.x86_64 12/153 Verifying : efi-srpm-macros-5-9.fc39.noarch 13/153 Verifying : file-5.44-5.fc39.x86_64 14/153 Verifying : file-libs-5.44-5.fc39.x86_64 15/153 Verifying : filesystem-3.18-6.fc39.x86_64 16/153 Verifying : findutils-1:4.9.0-5.fc39.x86_64 17/153 Verifying : fonts-srpm-macros-1:2.0.5-12.fc39.noarch 18/153 Verifying : fpc-srpm-macros-1.3-8.fc39.noarch 19/153 Verifying : gawk-5.2.2-2.fc39.x86_64 20/153 Verifying : gdbm-libs-1:1.23-4.fc39.x86_64 21/153 Verifying : ghc-srpm-macros-1.6.1-2.fc39.noarch 22/153 Verifying : gmp-1:6.2.1-5.fc39.x86_64 23/153 Verifying : gnat-srpm-macros-6-3.fc39.noarch 24/153 Verifying : grep-3.11-3.fc39.x86_64 25/153 Verifying : gzip-1.12-6.fc39.x86_64 26/153 Verifying : info-7.0.3-3.fc39.x86_64 27/153 Verifying : jansson-2.13.1-7.fc39.x86_64 28/153 Verifying : kernel-srpm-macros-1.0-20.fc39.noarch 29/153 Verifying : libattr-2.5.1-8.fc39.x86_64 30/153 Verifying : libbrotli-1.1.0-1.fc39.x86_64 31/153 Verifying : libcap-ng-0.8.3-8.fc39.x86_64 32/153 Verifying : libcom_err-1.47.0-2.fc39.x86_64 33/153 Verifying : libdb-5.3.28-56.fc39.x86_64 34/153 Verifying : libevent-2.1.12-9.fc39.x86_64 35/153 Verifying : libffi-3.4.4-4.fc39.x86_64 36/153 Verifying : libnsl2-2.0.0-6.fc39.x86_64 37/153 Verifying : libpkgconf-1.9.5-2.fc39.x86_64 38/153 Verifying : libpsl-0.21.2-4.fc39.x86_64 39/153 Verifying : libpwquality-1.4.5-6.fc39.x86_64 40/153 Verifying : libselinux-3.5-5.fc39.x86_64 41/153 Verifying : libsemanage-3.5-4.fc39.x86_64 42/153 Verifying : libsepol-3.5-2.fc39.x86_64 43/153 Verifying : libsigsegv-2.14-5.fc39.x86_64 44/153 Verifying : libtasn1-4.19.0-3.fc39.x86_64 45/153 Verifying : libtool-ltdl-2.4.7-7.fc39.x86_64 46/153 Verifying : libunistring-1.1-5.fc39.x86_64 47/153 Verifying : libutempter-1.2.1-10.fc39.x86_64 48/153 Verifying : libverto-0.3.2-6.fc39.x86_64 49/153 Verifying : libxcrypt-4.4.36-2.fc39.x86_64 50/153 Verifying : libxml2-2.10.4-3.fc39.x86_64 51/153 Verifying : lua-libs-5.4.6-3.fc39.x86_64 52/153 Verifying : lz4-libs-1.9.4-4.fc39.x86_64 53/153 Verifying : mpfr-4.2.0-3.fc39.x86_64 54/153 Verifying : ocaml-srpm-macros-8-2.fc39.noarch 55/153 Verifying : openblas-srpm-macros-2-14.fc39.noarch 56/153 Verifying : openssl-libs-1:3.1.1-4.fc39.x86_64 57/153 Verifying : package-notes-srpm-macros-0.5-9.fc39.noarch 58/153 Verifying : patch-2.7.6-22.fc39.x86_64 59/153 Verifying : pcre2-10.42-1.fc39.2.x86_64 60/153 Verifying : pcre2-syntax-10.42-1.fc39.2.noarch 61/153 Verifying : perl-srpm-macros-1-51.fc39.noarch 62/153 Verifying : pkgconf-1.9.5-2.fc39.x86_64 63/153 Verifying : pkgconf-m4-1.9.5-2.fc39.noarch 64/153 Verifying : pkgconf-pkg-config-1.9.5-2.fc39.x86_64 65/153 Verifying : popt-1.19-3.fc39.x86_64 66/153 Verifying : python-srpm-macros-3.12-4.fc39.noarch 67/153 Verifying : sed-4.8-14.fc39.x86_64 68/153 Verifying : setup-2.14.4-1.fc39.noarch 69/153 Verifying : sqlite-libs-3.42.0-7.fc39.x86_64 70/153 Verifying : tar-2:1.35-2.fc39.x86_64 71/153 Verifying : unzip-6.0-62.fc39.x86_64 72/153 Verifying : which-2.21-40.fc39.x86_64 73/153 Verifying : xxhash-libs-0.8.2-1.fc39.x86_64 74/153 Verifying : xz-5.4.4-1.fc39.x86_64 75/153 Verifying : xz-libs-5.4.4-1.fc39.x86_64 76/153 Verifying : zip-3.0-39.fc39.x86_64 77/153 Verifying : zlib-1.2.13-4.fc39.x86_64 78/153 Verifying : alternatives-1.26-1.fc39.x86_64 79/153 Verifying : ansible-srpm-macros-1-12.fc39.noarch 80/153 Verifying : audit-libs-3.1.3-1.fc39.x86_64 81/153 Verifying : bash-5.2.26-1.fc39.x86_64 82/153 Verifying : binutils-2.40-14.fc39.x86_64 83/153 Verifying : binutils-gold-2.40-14.fc39.x86_64 84/153 Verifying : coreutils-9.3-5.fc39.x86_64 85/153 Verifying : coreutils-common-9.3-5.fc39.x86_64 86/153 Verifying : crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 87/153 Verifying : curl-8.2.1-5.fc39.x86_64 88/153 Verifying : debugedit-5.0-12.fc39.x86_64 89/153 Verifying : elfutils-0.191-2.fc39.x86_64 90/153 Verifying : elfutils-debuginfod-client-0.191-2.fc39.x86_64 91/153 Verifying : elfutils-default-yama-scope-0.191-2.fc39.noarch 92/153 Verifying : elfutils-libelf-0.191-2.fc39.x86_64 93/153 Verifying : elfutils-libs-0.191-2.fc39.x86_64 94/153 Verifying : fedora-gpg-keys-39-2.noarch 95/153 Verifying : fedora-release-39-36.noarch 96/153 Verifying : fedora-release-common-39-36.noarch 97/153 Verifying : fedora-release-identity-basic-39-36.noarch 98/153 Verifying : fedora-repos-39-2.noarch 99/153 Verifying : forge-srpm-macros-0.3.1-1.fc39.noarch 100/153 Verifying : gdb-minimal-14.2-1.fc39.x86_64 101/153 Verifying : glibc-2.38-18.fc39.x86_64 102/153 Verifying : glibc-common-2.38-18.fc39.x86_64 103/153 Verifying : glibc-gconv-extra-2.38-18.fc39.x86_64 104/153 Verifying : glibc-minimal-langpack-2.38-18.fc39.x86_64 105/153 Verifying : go-srpm-macros-3.5.0-1.fc39.noarch 106/153 Verifying : keyutils-libs-1.6.3-1.fc39.x86_64 107/153 Verifying : krb5-libs-1.21.2-3.fc39.x86_64 108/153 Verifying : libacl-2.3.1-9.fc39.x86_64 109/153 Verifying : libarchive-3.7.1-2.fc39.x86_64 110/153 Verifying : libblkid-2.39.4-1.fc39.x86_64 111/153 Verifying : libcap-2.48-9.fc39.x86_64 112/153 Verifying : libcurl-8.2.1-5.fc39.x86_64 113/153 Verifying : libeconf-0.5.2-2.fc39.x86_64 114/153 Verifying : libfdisk-2.39.4-1.fc39.x86_64 115/153 Verifying : libgcc-13.3.1-1.fc39.x86_64 116/153 Verifying : libgomp-13.3.1-1.fc39.x86_64 117/153 Verifying : libidn2-2.3.7-1.fc39.x86_64 118/153 Verifying : libmount-2.39.4-1.fc39.x86_64 119/153 Verifying : libnghttp2-1.55.1-5.fc39.x86_64 120/153 Verifying : libsmartcols-2.39.4-1.fc39.x86_64 121/153 Verifying : libssh-0.10.6-2.fc39.x86_64 122/153 Verifying : libssh-config-0.10.6-2.fc39.noarch 123/153 Verifying : libstdc++-13.3.1-1.fc39.x86_64 124/153 Verifying : libtirpc-1.3.4-1.rc3.fc39.x86_64 125/153 Verifying : libuuid-2.39.4-1.fc39.x86_64 126/153 Verifying : libzstd-1.5.6-1.fc39.x86_64 127/153 Verifying : lua-srpm-macros-1-13.fc39.noarch 128/153 Verifying : ncurses-base-6.4-7.20230520.fc39.1.noarch 129/153 Verifying : ncurses-libs-6.4-7.20230520.fc39.1.x86_64 130/153 Verifying : openldap-2.6.7-1.fc39.x86_64 131/153 Verifying : p11-kit-0.25.3-1.fc39.x86_64 132/153 Verifying : p11-kit-trust-0.25.3-1.fc39.x86_64 133/153 Verifying : pam-1.5.3-3.fc39.x86_64 134/153 Verifying : pam-libs-1.5.3-3.fc39.x86_64 135/153 Verifying : publicsuffix-list-dafsa-20240107-1.fc39.noarch 136/153 Verifying : pyproject-srpm-macros-1.12.0-1.fc39.noarch 137/153 Verifying : qt5-srpm-macros-5.15.13-1.fc39.noarch 138/153 Verifying : qt6-srpm-macros-6.6.2-1.fc39.noarch 139/153 Verifying : readline-8.2-6.fc39.x86_64 140/153 Verifying : redhat-rpm-config-266-1.fc39.noarch 141/153 Verifying : rpm-4.19.1.1-1.fc39.x86_64 142/153 Verifying : rpm-build-4.19.1.1-1.fc39.x86_64 143/153 Verifying : rpm-build-libs-4.19.1.1-1.fc39.x86_64 144/153 Verifying : rpm-libs-4.19.1.1-1.fc39.x86_64 145/153 Verifying : rpm-sequoia-1.6.0-3.fc39.x86_64 146/153 Verifying : rpmautospec-rpm-macros-0.6.3-1.fc39.noarch 147/153 Verifying : rust-srpm-macros-26.3-1.fc39.noarch 148/153 Verifying : shadow-utils-2:4.14.0-2.fc39.x86_64 149/153 Verifying : systemd-libs-254.13-1.fc39.x86_64 150/153 Verifying : util-linux-2.39.4-1.fc39.x86_64 151/153 Verifying : util-linux-core-2.39.4-1.fc39.x86_64 152/153 Verifying : zstd-1.5.6-1.fc39.x86_64 153/153 Installed products updated. Installed: alternatives-1.26-1.fc39.x86_64 ansible-srpm-macros-1-12.fc39.noarch audit-libs-3.1.3-1.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.26-1.fc39.x86_64 binutils-2.40-14.fc39.x86_64 binutils-gold-2.40-14.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-5.fc39.x86_64 coreutils-common-9.3-5.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231204-1.git1e3a2e4.fc39.noarch curl-8.2.1-5.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-12.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.191-2.fc39.x86_64 elfutils-debuginfod-client-0.191-2.fc39.x86_64 elfutils-default-yama-scope-0.191-2.fc39.noarch elfutils-libelf-0.191-2.fc39.x86_64 elfutils-libs-0.191-2.fc39.x86_64 fedora-gpg-keys-39-2.noarch fedora-release-39-36.noarch fedora-release-common-39-36.noarch fedora-release-identity-basic-39-36.noarch fedora-repos-39-2.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-1:4.9.0-5.fc39.x86_64 fonts-srpm-macros-1:2.0.5-12.fc39.noarch forge-srpm-macros-0.3.1-1.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-14.2-1.fc39.x86_64 gdbm-libs-1:1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-18.fc39.x86_64 glibc-common-2.38-18.fc39.x86_64 glibc-gconv-extra-2.38-18.fc39.x86_64 glibc-minimal-langpack-2.38-18.fc39.x86_64 gmp-1:6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.5.0-1.fc39.noarch grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.3-1.fc39.x86_64 krb5-libs-1.21.2-3.fc39.x86_64 libacl-2.3.1-9.fc39.x86_64 libarchive-3.7.1-2.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.4-1.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-9.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-5.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-2.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.4-1.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.3.1-1.fc39.x86_64 libgomp-13.3.1-1.fc39.x86_64 libidn2-2.3.7-1.fc39.x86_64 libmount-2.39.4-1.fc39.x86_64 libnghttp2-1.55.1-5.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.4-1.fc39.x86_64 libssh-0.10.6-2.fc39.x86_64 libssh-config-0.10.6-2.fc39.noarch libstdc++-13.3.1-1.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.4-1.rc3.fc39.x86_64 libtool-ltdl-2.4.7-7.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.4-1.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.6-1.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-13.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.1.noarch ncurses-libs-6.4-7.20230520.fc39.1.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.7-1.fc39.x86_64 openssl-libs-1:3.1.1-4.fc39.x86_64 p11-kit-0.25.3-1.fc39.x86_64 p11-kit-trust-0.25.3-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20240107-1.fc39.noarch pyproject-srpm-macros-1.12.0-1.fc39.noarch python-srpm-macros-3.12-4.fc39.noarch qt5-srpm-macros-5.15.13-1.fc39.noarch qt6-srpm-macros-6.6.2-1.fc39.noarch readline-8.2-6.fc39.x86_64 redhat-rpm-config-266-1.fc39.noarch rpm-4.19.1.1-1.fc39.x86_64 rpm-build-4.19.1.1-1.fc39.x86_64 rpm-build-libs-4.19.1.1-1.fc39.x86_64 rpm-libs-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-3.fc39.x86_64 rpmautospec-rpm-macros-0.6.3-1.fc39.noarch rust-srpm-macros-26.3-1.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-2:4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.13-1.fc39.x86_64 tar-2:1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.4-1.fc39.x86_64 util-linux-core-2.39.4-1.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.6-1.fc39.x86_64 Complete! Finish: installing minimal buildroot with dnf Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: alternatives-1.26-1.fc39.x86_64 ansible-srpm-macros-1-12.fc39.noarch audit-libs-3.1.3-1.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.26-1.fc39.x86_64 binutils-2.40-14.fc39.x86_64 binutils-gold-2.40-14.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-5.fc39.x86_64 coreutils-common-9.3-5.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231204-1.git1e3a2e4.fc39.noarch curl-8.2.1-5.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-12.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.191-2.fc39.x86_64 elfutils-debuginfod-client-0.191-2.fc39.x86_64 elfutils-default-yama-scope-0.191-2.fc39.noarch elfutils-libelf-0.191-2.fc39.x86_64 elfutils-libs-0.191-2.fc39.x86_64 fedora-gpg-keys-39-2.noarch fedora-release-39-36.noarch fedora-release-common-39-36.noarch fedora-release-identity-basic-39-36.noarch fedora-repos-39-2.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-4.9.0-5.fc39.x86_64 fonts-srpm-macros-2.0.5-12.fc39.noarch forge-srpm-macros-0.3.1-1.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-14.2-1.fc39.x86_64 gdbm-libs-1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-18.fc39.x86_64 glibc-common-2.38-18.fc39.x86_64 glibc-gconv-extra-2.38-18.fc39.x86_64 glibc-minimal-langpack-2.38-18.fc39.x86_64 gmp-6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.5.0-1.fc39.noarch gpg-pubkey-18b8e74c-62f2920f grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.3-1.fc39.x86_64 krb5-libs-1.21.2-3.fc39.x86_64 libacl-2.3.1-9.fc39.x86_64 libarchive-3.7.1-2.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.4-1.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-9.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-5.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-2.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.4-1.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.3.1-1.fc39.x86_64 libgomp-13.3.1-1.fc39.x86_64 libidn2-2.3.7-1.fc39.x86_64 libmount-2.39.4-1.fc39.x86_64 libnghttp2-1.55.1-5.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.4-1.fc39.x86_64 libssh-0.10.6-2.fc39.x86_64 libssh-config-0.10.6-2.fc39.noarch libstdc++-13.3.1-1.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.4-1.rc3.fc39.x86_64 libtool-ltdl-2.4.7-7.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.4-1.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.6-1.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-13.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.1.noarch ncurses-libs-6.4-7.20230520.fc39.1.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.7-1.fc39.x86_64 openssl-libs-3.1.1-4.fc39.x86_64 p11-kit-0.25.3-1.fc39.x86_64 p11-kit-trust-0.25.3-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20240107-1.fc39.noarch pyproject-srpm-macros-1.12.0-1.fc39.noarch python-srpm-macros-3.12-4.fc39.noarch qt5-srpm-macros-5.15.13-1.fc39.noarch qt6-srpm-macros-6.6.2-1.fc39.noarch readline-8.2-6.fc39.x86_64 redhat-rpm-config-266-1.fc39.noarch rpm-4.19.1.1-1.fc39.x86_64 rpm-build-4.19.1.1-1.fc39.x86_64 rpm-build-libs-4.19.1.1-1.fc39.x86_64 rpm-libs-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-3.fc39.x86_64 rpmautospec-rpm-macros-0.6.3-1.fc39.noarch rust-srpm-macros-26.3-1.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.13-1.fc39.x86_64 tar-1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.4-1.fc39.x86_64 util-linux-core-2.39.4-1.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.6-1.fc39.x86_64 Start: buildsrpm Start: rpmbuild -bs warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild -bs cp: preserving permissions for ‘/var/lib/copr-rpmbuild/results/chroot_scan/var/lib/mock/fedora-39-x86_64-1718673815.729950/root/var/log’: No such file or directory INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1718673815.729950/root/var/log/dnf.rpm.log /var/lib/mock/fedora-39-x86_64-1718673815.729950/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1718673815.729950/root/var/log/dnf.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-tyga7il2/R-CRAN-adelie/R-CRAN-adelie.spec) Config(child) 0 minutes 37 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm) Config(fedora-39-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-1718673815.729950/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.19.2-1.fc39.noarch python3-dnf-plugins-core-4.6.0-1.fc39.noarch yum-4.19.2-1.fc39.noarch dnf5-5.1.17-1.fc39.x86_64 dnf5-plugins-5.1.17-1.fc39.x86_64 Finish: chroot init Start: build phase for R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm Start: build setup for R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing No matches found for the following disable plugin patterns: local, spacewalk, versionlock Updating Subscription Management repositories. Unable to read consumer identity This system is not registered with an entitlement server. You can use subscription-manager to register. Copr repository 91 kB/s | 1.5 kB 00:00 Copr repository 142 MB/s | 26 MB 00:00 fedora 186 kB/s | 32 kB 00:00 updates 439 kB/s | 29 kB 00:00 Dependencies resolved. ======================================================================================== Package Arch Version Repo Size ======================================================================================== Installing: R-CRAN-Matrix x86_64 1.6.5-1.fc39.copr6886765 copr_base 4.1 M R-CRAN-Rcpp x86_64 1.0.12-1.fc39.copr6877523 copr_base 2.0 M R-CRAN-RcppEigen x86_64 0.3.4.0.0-1.fc39.copr7306782 copr_base 1.4 M R-CRAN-r2r noarch 0.1.1-1.fc39.copr6284757 copr_base 98 k R-core x86_64 4.3.3-2.fc39 updates 64 M R-devel x86_64 4.3.3-2.fc39 updates 10 k Installing dependencies: R-CRAN-digest x86_64 0.6.35-1.fc39.copr7305174 copr_base 225 k R-CRAN-lattice x86_64 0.22.6-1.fc39.copr7307082 copr_base 1.4 M R-CRAN-rlang x86_64 1.1.4-1.fc39.copr7531082 copr_base 1.6 M R-core-devel x86_64 4.3.3-2.fc39 updates 93 k R-java x86_64 4.3.3-2.fc39 updates 11 k R-java-devel x86_64 4.3.3-2.fc39 updates 10 k R-littler x86_64 0.3.19-1.fc39 updates 76 k R-rpm-macros noarch 1.2.1-7.fc39 fedora 11 k abattis-cantarell-vf-fonts noarch 0.301-10.fc39 fedora 121 k alsa-lib x86_64 1.2.11-2.fc39 updates 521 k annobin-docs noarch 12.51-1.fc39 updates 88 k annobin-plugin-gcc x86_64 12.51-1.fc39 updates 959 k avahi-libs x86_64 0.8-24.fc39 fedora 67 k brotli x86_64 1.1.0-1.fc39 fedora 20 k brotli-devel x86_64 1.1.0-1.fc39 fedora 34 k bzip2-devel x86_64 1.0.8-16.fc39 fedora 214 k cairo x86_64 1.18.0-1.fc39 fedora 710 k cmake-filesystem x86_64 3.27.7-1.fc39 fedora 19 k copy-jdk-configs noarch 4.1-3.fc39 fedora 28 k cpp x86_64 13.3.1-1.fc39 updates 11 M crypto-policies-scripts noarch 20231204-1.git1e3a2e4.fc39 updates 117 k cups-libs x86_64 1:2.4.8-3.fc39 updates 267 k dbus-libs x86_64 1:1.14.10-1.fc39 fedora 156 k default-fonts-core-sans noarch 4.0-9.fc39 fedora 32 k desktop-file-utils x86_64 0.26-9.fc39 fedora 72 k emacs-filesystem noarch 1:29.3-1.fc39 updates 7.2 k expat x86_64 2.6.2-1.fc39 updates 114 k flexiblas x86_64 3.4.4-1.fc39 updates 25 k flexiblas-devel x86_64 3.4.4-1.fc39 updates 121 k flexiblas-netlib x86_64 3.4.4-1.fc39 updates 3.1 M flexiblas-netlib64 x86_64 3.4.4-1.fc39 updates 3.0 M flexiblas-openblas-openmp x86_64 3.4.4-1.fc39 updates 17 k flexiblas-openblas-openmp64 x86_64 3.4.4-1.fc39 updates 17 k fontconfig x86_64 2.14.2-6.fc39 updates 296 k fontconfig-devel x86_64 2.14.2-6.fc39 updates 164 k fonts-filesystem noarch 1:2.0.5-12.fc39 fedora 8.2 k freetype x86_64 2.13.1-2.fc39 fedora 414 k freetype-devel x86_64 2.13.1-2.fc39 fedora 950 k fribidi x86_64 1.0.13-2.fc39 fedora 91 k gc x86_64 8.2.2-4.fc39 fedora 110 k gcc x86_64 13.3.1-1.fc39 updates 34 M gcc-c++ x86_64 13.3.1-1.fc39 updates 13 M gcc-gfortran x86_64 13.3.1-1.fc39 updates 12 M gcc-plugin-annobin x86_64 13.3.1-1.fc39 updates 56 k gettext x86_64 0.22-2.fc39 fedora 1.1 M gettext-envsubst x86_64 0.22-2.fc39 fedora 36 k gettext-libs x86_64 0.22-2.fc39 fedora 328 k gettext-runtime x86_64 0.22-2.fc39 fedora 120 k glib2 x86_64 2.78.6-1.fc39 updates 2.8 M glib2-devel x86_64 2.78.6-1.fc39 updates 594 k glibc-devel x86_64 2.38-18.fc39 updates 86 k glibc-headers-x86 noarch 2.38-18.fc39 updates 571 k gnutls x86_64 3.8.5-1.fc39 updates 1.1 M google-noto-fonts-common noarch 20240101-1.fc39 updates 17 k google-noto-sans-vf-fonts noarch 20240101-1.fc39 updates 593 k graphite2 x86_64 1.3.14-12.fc39 fedora 95 k graphite2-devel x86_64 1.3.14-12.fc39 fedora 20 k guile22 x86_64 2.2.7-9.fc39 fedora 6.5 M harfbuzz x86_64 8.2.1-2.fc39 fedora 975 k harfbuzz-devel x86_64 8.2.1-2.fc39 fedora 450 k harfbuzz-icu x86_64 8.2.1-2.fc39 fedora 17 k java-17-openjdk x86_64 1:17.0.11.0.9-1.fc39 updates 404 k java-17-openjdk-devel x86_64 1:17.0.11.0.9-1.fc39 updates 4.7 M java-17-openjdk-headless x86_64 1:17.0.11.0.9-1.fc39 updates 44 M javapackages-filesystem noarch 6.1.0-10.fc39 fedora 12 k jbigkit-libs x86_64 2.1-26.fc39 fedora 53 k kernel-headers x86_64 6.9.4-100.fc39 updates 1.6 M libICE x86_64 1.0.10-11.fc39 fedora 70 k libRmath x86_64 4.3.3-2.fc39 updates 121 k libRmath-devel x86_64 4.3.3-2.fc39 updates 16 k libSM x86_64 1.2.3-13.fc39 fedora 41 k libX11 x86_64 1.8.9-1.fc39 updates 650 k libX11-common noarch 1.8.9-1.fc39 updates 176 k libX11-devel x86_64 1.8.9-1.fc39 updates 1.0 M libX11-xcb x86_64 1.8.9-1.fc39 updates 12 k libXau x86_64 1.0.11-3.fc39 fedora 31 k libXau-devel x86_64 1.0.11-3.fc39 fedora 14 k libXcomposite x86_64 0.4.5-10.fc39 fedora 23 k libXext x86_64 1.3.5-3.fc39 fedora 39 k libXft x86_64 2.3.8-3.fc39 fedora 72 k libXft-devel x86_64 2.3.8-3.fc39 fedora 50 k libXi x86_64 1.8.1-2.fc39 fedora 40 k libXmu x86_64 1.1.4-3.fc39 fedora 76 k libXrender x86_64 0.9.11-3.fc39 fedora 27 k libXrender-devel x86_64 0.9.11-3.fc39 fedora 19 k libXt x86_64 1.2.1-5.fc39 fedora 178 k libXtst x86_64 1.2.4-3.fc39 fedora 20 k libb2 x86_64 0.98.1-9.fc39 fedora 25 k libblkid-devel x86_64 2.39.4-1.fc39 updates 18 k libdatrie x86_64 0.2.13-7.fc39 fedora 32 k libffi-devel x86_64 3.4.4-4.fc39 fedora 29 k libfontenc x86_64 1.1.6-3.fc39 fedora 32 k libgfortran x86_64 13.3.1-1.fc39 updates 906 k libicu x86_64 73.2-2.fc39 fedora 11 M libicu-devel x86_64 73.2-2.fc39 fedora 924 k libjpeg-turbo x86_64 2.1.4-3.fc39 fedora 183 k liblerc x86_64 4.0.0-4.fc39 fedora 201 k libmount-devel x86_64 2.39.4-1.fc39 updates 18 k libmpc x86_64 1.3.1-3.fc39 fedora 70 k libpng x86_64 2:1.6.37-15.fc39 fedora 119 k libpng-devel x86_64 2:1.6.37-15.fc39 fedora 291 k libquadmath x86_64 13.3.1-1.fc39 updates 203 k libquadmath-devel x86_64 13.3.1-1.fc39 updates 45 k libselinux-devel x86_64 3.5-5.fc39 fedora 151 k libsepol-devel x86_64 3.5-2.fc39 fedora 49 k libstdc++-devel x86_64 13.3.1-1.fc39 updates 2.6 M libthai x86_64 0.1.29-6.fc39 fedora 213 k libtiff x86_64 4.4.0-8.fc39 fedora 202 k libtirpc-devel x86_64 1.3.4-1.rc3.fc39 updates 124 k libwebp x86_64 1.3.2-2.fc39 fedora 284 k libxcb x86_64 1.13.1-12.fc39 fedora 233 k libxcb-devel x86_64 1.13.1-12.fc39 fedora 1.4 M libxcrypt-devel x86_64 4.4.36-2.fc39 fedora 30 k libxml2-devel x86_64 2.10.4-3.fc39 fedora 527 k lksctp-tools x86_64 1.0.19-4.fc39 fedora 92 k lua x86_64 5.4.6-3.fc39 fedora 191 k lua-posix x86_64 36.2.1-3.fc39 fedora 143 k make x86_64 1:4.4.1-2.fc39 fedora 589 k mkfontscale x86_64 1.2.2-4.fc39 fedora 32 k mpdecimal x86_64 2.5.1-7.fc39 fedora 89 k nettle x86_64 3.9.1-2.fc39 fedora 425 k nspr x86_64 4.35.0-19.fc39 updates 137 k nss x86_64 3.99.0-1.fc39 updates 702 k nss-softokn x86_64 3.99.0-1.fc39 updates 419 k nss-softokn-freebl x86_64 3.99.0-1.fc39 updates 381 k nss-sysinit x86_64 3.99.0-1.fc39 updates 18 k nss-util x86_64 3.99.0-1.fc39 updates 87 k openblas x86_64 0.3.21-6.fc39 fedora 35 k openblas-openmp x86_64 0.3.21-6.fc39 fedora 4.9 M openblas-openmp64 x86_64 0.3.21-6.fc39 fedora 4.8 M pango x86_64 1.51.0-1.fc39 fedora 343 k pcre2-devel x86_64 10.42-1.fc39.2 fedora 505 k pcre2-utf16 x86_64 10.42-1.fc39.2 fedora 212 k pcre2-utf32 x86_64 10.42-1.fc39.2 fedora 200 k pixman x86_64 0.42.2-2.fc39 fedora 288 k python-pip-wheel noarch 23.2.1-2.fc39 updates 1.5 M python3 x86_64 3.12.3-2.fc39 updates 27 k python3-libs x86_64 3.12.3-2.fc39 updates 9.2 M python3-setuptools noarch 67.7.2-7.fc39 fedora 1.5 M sysprof-capture-devel x86_64 45.1-1.fc39 updates 59 k tcl x86_64 1:8.6.12-5.fc39 fedora 1.1 M tcl-devel x86_64 1:8.6.12-5.fc39 fedora 169 k tk x86_64 1:8.6.12-5.fc39 fedora 1.6 M tk-devel x86_64 1:8.6.12-5.fc39 fedora 537 k tre x86_64 0.8.0-41.20140228gitc2f5d13.fc39 fedora 43 k tre-common noarch 0.8.0-41.20140228gitc2f5d13.fc39 fedora 31 k tre-devel x86_64 0.8.0-41.20140228gitc2f5d13.fc39 fedora 12 k ttmkfdir x86_64 3.0.9-69.fc39 fedora 56 k tzdata noarch 2024a-2.fc39 updates 715 k tzdata-java noarch 2024a-2.fc39 updates 208 k xdg-utils noarch 1.1.3-15.fc39 fedora 77 k xml-common noarch 0.6.3-61.fc39 fedora 31 k xorg-x11-fonts-Type1 noarch 7.5-36.fc39 fedora 504 k xorg-x11-proto-devel noarch 2023.2-2.fc39 fedora 298 k xz-devel x86_64 5.4.4-1.fc39 fedora 66 k zlib-devel x86_64 1.2.13-4.fc39 fedora 45 k Transaction Summary ======================================================================================== Install 162 Packages Total download size: 277 M Installed size: 880 M Downloading Packages: (1/162): R-CRAN-Rcpp-1.0.12-1.fc39.copr6877523. 52 MB/s | 2.0 MB 00:00 (2/162): R-CRAN-digest-0.6.35-1.fc39.copr730517 92 MB/s | 225 kB 00:00 (3/162): R-CRAN-lattice-0.22.6-1.fc39.copr73070 218 MB/s | 1.4 MB 00:00 (4/162): R-CRAN-RcppEigen-0.3.4.0.0-1.fc39.copr 28 MB/s | 1.4 MB 00:00 (5/162): R-CRAN-Matrix-1.6.5-1.fc39.copr6886765 65 MB/s | 4.1 MB 00:00 (6/162): R-CRAN-r2r-0.1.1-1.fc39.copr6284757.no 3.2 MB/s | 98 kB 00:00 (7/162): R-CRAN-rlang-1.1.4-1.fc39.copr7531082. 53 MB/s | 1.6 MB 00:00 (8/162): abattis-cantarell-vf-fonts-0.301-10.fc 28 MB/s | 121 kB 00:00 (9/162): brotli-1.1.0-1.fc39.x86_64.rpm 11 MB/s | 20 kB 00:00 (10/162): brotli-devel-1.1.0-1.fc39.x86_64.rpm 19 MB/s | 34 kB 00:00 (11/162): bzip2-devel-1.0.8-16.fc39.x86_64.rpm 84 MB/s | 214 kB 00:00 (12/162): avahi-libs-0.8-24.fc39.x86_64.rpm 5.5 MB/s | 67 kB 00:00 (13/162): cairo-1.18.0-1.fc39.x86_64.rpm 132 MB/s | 710 kB 00:00 (14/162): cmake-filesystem-3.27.7-1.fc39.x86_64 5.9 MB/s | 19 kB 00:00 (15/162): copy-jdk-configs-4.1-3.fc39.noarch.rp 11 MB/s | 28 kB 00:00 (16/162): default-fonts-core-sans-4.0-9.fc39.no 11 MB/s | 32 kB 00:00 (17/162): dbus-libs-1.14.10-1.fc39.x86_64.rpm 19 MB/s | 156 kB 00:00 (18/162): desktop-file-utils-0.26-9.fc39.x86_64 7.8 MB/s | 72 kB 00:00 (19/162): R-rpm-macros-1.2.1-7.fc39.noarch.rpm 212 kB/s | 11 kB 00:00 (20/162): fonts-filesystem-2.0.5-12.fc39.noarch 780 kB/s | 8.2 kB 00:00 (21/162): freetype-2.13.1-2.fc39.x86_64.rpm 38 MB/s | 414 kB 00:00 (22/162): fribidi-1.0.13-2.fc39.x86_64.rpm 13 MB/s | 91 kB 00:00 (23/162): freetype-devel-2.13.1-2.fc39.x86_64.r 84 MB/s | 950 kB 00:00 (24/162): gc-8.2.2-4.fc39.x86_64.rpm 16 MB/s | 110 kB 00:00 (25/162): gettext-envsubst-0.22-2.fc39.x86_64.r 10 MB/s | 36 kB 00:00 (26/162): gettext-libs-0.22-2.fc39.x86_64.rpm 48 MB/s | 328 kB 00:00 (27/162): gettext-0.22-2.fc39.x86_64.rpm 84 MB/s | 1.1 MB 00:00 (28/162): gettext-runtime-0.22-2.fc39.x86_64.rp 18 MB/s | 120 kB 00:00 (29/162): graphite2-1.3.14-12.fc39.x86_64.rpm 20 MB/s | 95 kB 00:00 (30/162): graphite2-devel-1.3.14-12.fc39.x86_64 5.0 MB/s | 20 kB 00:00 (31/162): harfbuzz-devel-8.2.1-2.fc39.x86_64.rp 52 MB/s | 450 kB 00:00 (32/162): harfbuzz-8.2.1-2.fc39.x86_64.rpm 75 MB/s | 975 kB 00:00 (33/162): harfbuzz-icu-8.2.1-2.fc39.x86_64.rpm 2.4 MB/s | 17 kB 00:00 (34/162): javapackages-filesystem-6.1.0-10.fc39 2.7 MB/s | 12 kB 00:00 (35/162): jbigkit-libs-2.1-26.fc39.x86_64.rpm 6.3 MB/s | 53 kB 00:00 (36/162): libICE-1.0.10-11.fc39.x86_64.rpm 5.4 MB/s | 70 kB 00:00 (37/162): libSM-1.2.3-13.fc39.x86_64.rpm 3.6 MB/s | 41 kB 00:00 (38/162): libXau-1.0.11-3.fc39.x86_64.rpm 4.1 MB/s | 31 kB 00:00 (39/162): libXcomposite-0.4.5-10.fc39.x86_64.rp 4.3 MB/s | 23 kB 00:00 (40/162): libXau-devel-1.0.11-3.fc39.x86_64.rpm 1.5 MB/s | 14 kB 00:00 (41/162): libXext-1.3.5-3.fc39.x86_64.rpm 6.3 MB/s | 39 kB 00:00 (42/162): libXft-2.3.8-3.fc39.x86_64.rpm 12 MB/s | 72 kB 00:00 (43/162): libXft-devel-2.3.8-3.fc39.x86_64.rpm 8.5 MB/s | 50 kB 00:00 (44/162): libXi-1.8.1-2.fc39.x86_64.rpm 8.1 MB/s | 40 kB 00:00 (45/162): libXmu-1.1.4-3.fc39.x86_64.rpm 16 MB/s | 76 kB 00:00 (46/162): guile22-2.2.7-9.fc39.x86_64.rpm 95 MB/s | 6.5 MB 00:00 (47/162): libXrender-0.9.11-3.fc39.x86_64.rpm 2.6 MB/s | 27 kB 00:00 (48/162): libXrender-devel-0.9.11-3.fc39.x86_64 2.9 MB/s | 19 kB 00:00 (49/162): libXtst-1.2.4-3.fc39.x86_64.rpm 7.1 MB/s | 20 kB 00:00 (50/162): libb2-0.98.1-9.fc39.x86_64.rpm 8.0 MB/s | 25 kB 00:00 (51/162): libXt-1.2.1-5.fc39.x86_64.rpm 39 MB/s | 178 kB 00:00 (52/162): libdatrie-0.2.13-7.fc39.x86_64.rpm 12 MB/s | 32 kB 00:00 (53/162): libffi-devel-3.4.4-4.fc39.x86_64.rpm 9.1 MB/s | 29 kB 00:00 (54/162): libfontenc-1.1.6-3.fc39.x86_64.rpm 10 MB/s | 32 kB 00:00 (55/162): libjpeg-turbo-2.1.4-3.fc39.x86_64.rpm 92 MB/s | 183 kB 00:00 (56/162): liblerc-4.0.0-4.fc39.x86_64.rpm 40 MB/s | 201 kB 00:00 (57/162): libmpc-1.3.1-3.fc39.x86_64.rpm 24 MB/s | 70 kB 00:00 (58/162): libpng-1.6.37-15.fc39.x86_64.rpm 26 MB/s | 119 kB 00:00 (59/162): libpng-devel-1.6.37-15.fc39.x86_64.rp 57 MB/s | 291 kB 00:00 (60/162): libselinux-devel-3.5-5.fc39.x86_64.rp 33 MB/s | 151 kB 00:00 (61/162): libsepol-devel-3.5-2.fc39.x86_64.rpm 11 MB/s | 49 kB 00:00 (62/162): libthai-0.1.29-6.fc39.x86_64.rpm 59 MB/s | 213 kB 00:00 (63/162): libtiff-4.4.0-8.fc39.x86_64.rpm 39 MB/s | 202 kB 00:00 (64/162): libwebp-1.3.2-2.fc39.x86_64.rpm 73 MB/s | 284 kB 00:00 (65/162): libxcb-1.13.1-12.fc39.x86_64.rpm 88 MB/s | 233 kB 00:00 (66/162): libicu-devel-73.2-2.fc39.x86_64.rpm 18 MB/s | 924 kB 00:00 (67/162): libxcrypt-devel-4.4.36-2.fc39.x86_64. 6.8 MB/s | 30 kB 00:00 (68/162): libxcb-devel-1.13.1-12.fc39.x86_64.rp 119 MB/s | 1.4 MB 00:00 (69/162): libxml2-devel-2.10.4-3.fc39.x86_64.rp 99 MB/s | 527 kB 00:00 (70/162): lksctp-tools-1.0.19-4.fc39.x86_64.rpm 27 MB/s | 92 kB 00:00 (71/162): lua-posix-36.2.1-3.fc39.x86_64.rpm 32 MB/s | 143 kB 00:00 (72/162): lua-5.4.6-3.fc39.x86_64.rpm 29 MB/s | 191 kB 00:00 (73/162): libicu-73.2-2.fc39.x86_64.rpm 135 MB/s | 11 MB 00:00 (74/162): make-4.4.1-2.fc39.x86_64.rpm 49 MB/s | 589 kB 00:00 (75/162): mkfontscale-1.2.2-4.fc39.x86_64.rpm 2.8 MB/s | 32 kB 00:00 (76/162): nettle-3.9.1-2.fc39.x86_64.rpm 131 MB/s | 425 kB 00:00 (77/162): openblas-0.3.21-6.fc39.x86_64.rpm 9.6 MB/s | 35 kB 00:00 (78/162): mpdecimal-2.5.1-7.fc39.x86_64.rpm 18 MB/s | 89 kB 00:00 (79/162): pango-1.51.0-1.fc39.x86_64.rpm 50 MB/s | 343 kB 00:00 (80/162): pcre2-devel-10.42-1.fc39.2.x86_64.rpm 69 MB/s | 505 kB 00:00 (81/162): pcre2-utf16-10.42-1.fc39.2.x86_64.rpm 35 MB/s | 212 kB 00:00 (82/162): pcre2-utf32-10.42-1.fc39.2.x86_64.rpm 41 MB/s | 200 kB 00:00 (83/162): pixman-0.42.2-2.fc39.x86_64.rpm 45 MB/s | 288 kB 00:00 (84/162): openblas-openmp-0.3.21-6.fc39.x86_64. 119 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Running transaction test Transaction test succeeded. 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nss-3.99.0-1.fc39.x86_64 162/162 Running scriptlet: java-17-openjdk-headless-1:17.0.11.0.9-1.fc39.x8 162/162 Running scriptlet: java-17-openjdk-1:17.0.11.0.9-1.fc39.x86_64 162/162 Running scriptlet: java-17-openjdk-devel-1:17.0.11.0.9-1.fc39.x86_6 162/162 Running scriptlet: gcc-plugin-annobin-13.3.1-1.fc39.x86_64 162/162 Verifying : R-CRAN-Matrix-1.6.5-1.fc39.copr6886765.x86_64 1/162 Verifying : R-CRAN-Rcpp-1.0.12-1.fc39.copr6877523.x86_64 2/162 Verifying : R-CRAN-RcppEigen-0.3.4.0.0-1.fc39.copr7306782.x8 3/162 Verifying : R-CRAN-digest-0.6.35-1.fc39.copr7305174.x86_64 4/162 Verifying : R-CRAN-lattice-0.22.6-1.fc39.copr7307082.x86_64 5/162 Verifying : R-CRAN-r2r-0.1.1-1.fc39.copr6284757.noarch 6/162 Verifying : R-CRAN-rlang-1.1.4-1.fc39.copr7531082.x86_64 7/162 Verifying : R-rpm-macros-1.2.1-7.fc39.noarch 8/162 Verifying : abattis-cantarell-vf-fonts-0.301-10.fc39.noarch 9/162 Verifying : avahi-libs-0.8-24.fc39.x86_64 10/162 Verifying : brotli-1.1.0-1.fc39.x86_64 11/162 Verifying : brotli-devel-1.1.0-1.fc39.x86_64 12/162 Verifying : bzip2-devel-1.0.8-16.fc39.x86_64 13/162 Verifying : cairo-1.18.0-1.fc39.x86_64 14/162 Verifying : cmake-filesystem-3.27.7-1.fc39.x86_64 15/162 Verifying : copy-jdk-configs-4.1-3.fc39.noarch 16/162 Verifying : dbus-libs-1:1.14.10-1.fc39.x86_64 17/162 Verifying : default-fonts-core-sans-4.0-9.fc39.noarch 18/162 Verifying : desktop-file-utils-0.26-9.fc39.x86_64 19/162 Verifying : fonts-filesystem-1:2.0.5-12.fc39.noarch 20/162 Verifying : freetype-2.13.1-2.fc39.x86_64 21/162 Verifying : freetype-devel-2.13.1-2.fc39.x86_64 22/162 Verifying : fribidi-1.0.13-2.fc39.x86_64 23/162 Verifying : gc-8.2.2-4.fc39.x86_64 24/162 Verifying : gettext-0.22-2.fc39.x86_64 25/162 Verifying : gettext-envsubst-0.22-2.fc39.x86_64 26/162 Verifying : gettext-libs-0.22-2.fc39.x86_64 27/162 Verifying : gettext-runtime-0.22-2.fc39.x86_64 28/162 Verifying : graphite2-1.3.14-12.fc39.x86_64 29/162 Verifying : graphite2-devel-1.3.14-12.fc39.x86_64 30/162 Verifying : guile22-2.2.7-9.fc39.x86_64 31/162 Verifying : harfbuzz-8.2.1-2.fc39.x86_64 32/162 Verifying : harfbuzz-devel-8.2.1-2.fc39.x86_64 33/162 Verifying : harfbuzz-icu-8.2.1-2.fc39.x86_64 34/162 Verifying : javapackages-filesystem-6.1.0-10.fc39.noarch 35/162 Verifying : jbigkit-libs-2.1-26.fc39.x86_64 36/162 Verifying : libICE-1.0.10-11.fc39.x86_64 37/162 Verifying : libSM-1.2.3-13.fc39.x86_64 38/162 Verifying : libXau-1.0.11-3.fc39.x86_64 39/162 Verifying : libXau-devel-1.0.11-3.fc39.x86_64 40/162 Verifying : libXcomposite-0.4.5-10.fc39.x86_64 41/162 Verifying : libXext-1.3.5-3.fc39.x86_64 42/162 Verifying : libXft-2.3.8-3.fc39.x86_64 43/162 Verifying : libXft-devel-2.3.8-3.fc39.x86_64 44/162 Verifying : libXi-1.8.1-2.fc39.x86_64 45/162 Verifying : libXmu-1.1.4-3.fc39.x86_64 46/162 Verifying : libXrender-0.9.11-3.fc39.x86_64 47/162 Verifying : libXrender-devel-0.9.11-3.fc39.x86_64 48/162 Verifying : libXt-1.2.1-5.fc39.x86_64 49/162 Verifying : libXtst-1.2.4-3.fc39.x86_64 50/162 Verifying : libb2-0.98.1-9.fc39.x86_64 51/162 Verifying : libdatrie-0.2.13-7.fc39.x86_64 52/162 Verifying : libffi-devel-3.4.4-4.fc39.x86_64 53/162 Verifying : libfontenc-1.1.6-3.fc39.x86_64 54/162 Verifying : libicu-73.2-2.fc39.x86_64 55/162 Verifying : libicu-devel-73.2-2.fc39.x86_64 56/162 Verifying : libjpeg-turbo-2.1.4-3.fc39.x86_64 57/162 Verifying : liblerc-4.0.0-4.fc39.x86_64 58/162 Verifying : libmpc-1.3.1-3.fc39.x86_64 59/162 Verifying : libpng-2:1.6.37-15.fc39.x86_64 60/162 Verifying : libpng-devel-2:1.6.37-15.fc39.x86_64 61/162 Verifying : libselinux-devel-3.5-5.fc39.x86_64 62/162 Verifying : libsepol-devel-3.5-2.fc39.x86_64 63/162 Verifying : libthai-0.1.29-6.fc39.x86_64 64/162 Verifying : libtiff-4.4.0-8.fc39.x86_64 65/162 Verifying : libwebp-1.3.2-2.fc39.x86_64 66/162 Verifying : libxcb-1.13.1-12.fc39.x86_64 67/162 Verifying : libxcb-devel-1.13.1-12.fc39.x86_64 68/162 Verifying : libxcrypt-devel-4.4.36-2.fc39.x86_64 69/162 Verifying : libxml2-devel-2.10.4-3.fc39.x86_64 70/162 Verifying : lksctp-tools-1.0.19-4.fc39.x86_64 71/162 Verifying : lua-5.4.6-3.fc39.x86_64 72/162 Verifying : lua-posix-36.2.1-3.fc39.x86_64 73/162 Verifying : make-1:4.4.1-2.fc39.x86_64 74/162 Verifying : mkfontscale-1.2.2-4.fc39.x86_64 75/162 Verifying : mpdecimal-2.5.1-7.fc39.x86_64 76/162 Verifying : nettle-3.9.1-2.fc39.x86_64 77/162 Verifying : openblas-0.3.21-6.fc39.x86_64 78/162 Verifying : openblas-openmp-0.3.21-6.fc39.x86_64 79/162 Verifying : openblas-openmp64-0.3.21-6.fc39.x86_64 80/162 Verifying : pango-1.51.0-1.fc39.x86_64 81/162 Verifying : pcre2-devel-10.42-1.fc39.2.x86_64 82/162 Verifying : pcre2-utf16-10.42-1.fc39.2.x86_64 83/162 Verifying : pcre2-utf32-10.42-1.fc39.2.x86_64 84/162 Verifying : pixman-0.42.2-2.fc39.x86_64 85/162 Verifying : python3-setuptools-67.7.2-7.fc39.noarch 86/162 Verifying : tcl-1:8.6.12-5.fc39.x86_64 87/162 Verifying : tcl-devel-1:8.6.12-5.fc39.x86_64 88/162 Verifying : tk-1:8.6.12-5.fc39.x86_64 89/162 Verifying : tk-devel-1:8.6.12-5.fc39.x86_64 90/162 Verifying : tre-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 91/162 Verifying : tre-common-0.8.0-41.20140228gitc2f5d13.fc39.noar 92/162 Verifying : tre-devel-0.8.0-41.20140228gitc2f5d13.fc39.x86_6 93/162 Verifying : ttmkfdir-3.0.9-69.fc39.x86_64 94/162 Verifying : xdg-utils-1.1.3-15.fc39.noarch 95/162 Verifying : xml-common-0.6.3-61.fc39.noarch 96/162 Verifying : xorg-x11-fonts-Type1-7.5-36.fc39.noarch 97/162 Verifying : xorg-x11-proto-devel-2023.2-2.fc39.noarch 98/162 Verifying : xz-devel-5.4.4-1.fc39.x86_64 99/162 Verifying : zlib-devel-1.2.13-4.fc39.x86_64 100/162 Verifying : R-core-4.3.3-2.fc39.x86_64 101/162 Verifying : R-core-devel-4.3.3-2.fc39.x86_64 102/162 Verifying : R-devel-4.3.3-2.fc39.x86_64 103/162 Verifying : R-java-4.3.3-2.fc39.x86_64 104/162 Verifying : R-java-devel-4.3.3-2.fc39.x86_64 105/162 Verifying : R-littler-0.3.19-1.fc39.x86_64 106/162 Verifying : alsa-lib-1.2.11-2.fc39.x86_64 107/162 Verifying : annobin-docs-12.51-1.fc39.noarch 108/162 Verifying : annobin-plugin-gcc-12.51-1.fc39.x86_64 109/162 Verifying : cpp-13.3.1-1.fc39.x86_64 110/162 Verifying : crypto-policies-scripts-20231204-1.git1e3a2e4.fc 111/162 Verifying : cups-libs-1:2.4.8-3.fc39.x86_64 112/162 Verifying : emacs-filesystem-1:29.3-1.fc39.noarch 113/162 Verifying : expat-2.6.2-1.fc39.x86_64 114/162 Verifying : flexiblas-3.4.4-1.fc39.x86_64 115/162 Verifying : flexiblas-devel-3.4.4-1.fc39.x86_64 116/162 Verifying : flexiblas-netlib-3.4.4-1.fc39.x86_64 117/162 Verifying : flexiblas-netlib64-3.4.4-1.fc39.x86_64 118/162 Verifying : flexiblas-openblas-openmp-3.4.4-1.fc39.x86_64 119/162 Verifying : flexiblas-openblas-openmp64-3.4.4-1.fc39.x86_64 120/162 Verifying : fontconfig-2.14.2-6.fc39.x86_64 121/162 Verifying : fontconfig-devel-2.14.2-6.fc39.x86_64 122/162 Verifying : gcc-13.3.1-1.fc39.x86_64 123/162 Verifying : gcc-c++-13.3.1-1.fc39.x86_64 124/162 Verifying : gcc-gfortran-13.3.1-1.fc39.x86_64 125/162 Verifying : gcc-plugin-annobin-13.3.1-1.fc39.x86_64 126/162 Verifying : glib2-2.78.6-1.fc39.x86_64 127/162 Verifying : glib2-devel-2.78.6-1.fc39.x86_64 128/162 Verifying : glibc-devel-2.38-18.fc39.x86_64 129/162 Verifying : glibc-headers-x86-2.38-18.fc39.noarch 130/162 Verifying : gnutls-3.8.5-1.fc39.x86_64 131/162 Verifying : google-noto-fonts-common-20240101-1.fc39.noarch 132/162 Verifying : google-noto-sans-vf-fonts-20240101-1.fc39.noarch 133/162 Verifying : java-17-openjdk-1:17.0.11.0.9-1.fc39.x86_64 134/162 Verifying : java-17-openjdk-devel-1:17.0.11.0.9-1.fc39.x86_6 135/162 Verifying : java-17-openjdk-headless-1:17.0.11.0.9-1.fc39.x8 136/162 Verifying : kernel-headers-6.9.4-100.fc39.x86_64 137/162 Verifying : libRmath-4.3.3-2.fc39.x86_64 138/162 Verifying : libRmath-devel-4.3.3-2.fc39.x86_64 139/162 Verifying : libX11-1.8.9-1.fc39.x86_64 140/162 Verifying : libX11-common-1.8.9-1.fc39.noarch 141/162 Verifying : libX11-devel-1.8.9-1.fc39.x86_64 142/162 Verifying : libX11-xcb-1.8.9-1.fc39.x86_64 143/162 Verifying : libblkid-devel-2.39.4-1.fc39.x86_64 144/162 Verifying : libgfortran-13.3.1-1.fc39.x86_64 145/162 Verifying : libmount-devel-2.39.4-1.fc39.x86_64 146/162 Verifying : libquadmath-13.3.1-1.fc39.x86_64 147/162 Verifying : libquadmath-devel-13.3.1-1.fc39.x86_64 148/162 Verifying : libstdc++-devel-13.3.1-1.fc39.x86_64 149/162 Verifying : libtirpc-devel-1.3.4-1.rc3.fc39.x86_64 150/162 Verifying : nspr-4.35.0-19.fc39.x86_64 151/162 Verifying : nss-3.99.0-1.fc39.x86_64 152/162 Verifying : nss-softokn-3.99.0-1.fc39.x86_64 153/162 Verifying : nss-softokn-freebl-3.99.0-1.fc39.x86_64 154/162 Verifying : nss-sysinit-3.99.0-1.fc39.x86_64 155/162 Verifying : nss-util-3.99.0-1.fc39.x86_64 156/162 Verifying : python-pip-wheel-23.2.1-2.fc39.noarch 157/162 Verifying : python3-3.12.3-2.fc39.x86_64 158/162 Verifying : python3-libs-3.12.3-2.fc39.x86_64 159/162 Verifying : sysprof-capture-devel-45.1-1.fc39.x86_64 160/162 Verifying : tzdata-2024a-2.fc39.noarch 161/162 Verifying : tzdata-java-2024a-2.fc39.noarch 162/162 Installed products updated. Installed: R-CRAN-Matrix-1.6.5-1.fc39.copr6886765.x86_64 R-CRAN-Rcpp-1.0.12-1.fc39.copr6877523.x86_64 R-CRAN-RcppEigen-0.3.4.0.0-1.fc39.copr7306782.x86_64 R-CRAN-digest-0.6.35-1.fc39.copr7305174.x86_64 R-CRAN-lattice-0.22.6-1.fc39.copr7307082.x86_64 R-CRAN-r2r-0.1.1-1.fc39.copr6284757.noarch R-CRAN-rlang-1.1.4-1.fc39.copr7531082.x86_64 R-core-4.3.3-2.fc39.x86_64 R-core-devel-4.3.3-2.fc39.x86_64 R-devel-4.3.3-2.fc39.x86_64 R-java-4.3.3-2.fc39.x86_64 R-java-devel-4.3.3-2.fc39.x86_64 R-littler-0.3.19-1.fc39.x86_64 R-rpm-macros-1.2.1-7.fc39.noarch abattis-cantarell-vf-fonts-0.301-10.fc39.noarch alsa-lib-1.2.11-2.fc39.x86_64 annobin-docs-12.51-1.fc39.noarch annobin-plugin-gcc-12.51-1.fc39.x86_64 avahi-libs-0.8-24.fc39.x86_64 brotli-1.1.0-1.fc39.x86_64 brotli-devel-1.1.0-1.fc39.x86_64 bzip2-devel-1.0.8-16.fc39.x86_64 cairo-1.18.0-1.fc39.x86_64 cmake-filesystem-3.27.7-1.fc39.x86_64 copy-jdk-configs-4.1-3.fc39.noarch cpp-13.3.1-1.fc39.x86_64 crypto-policies-scripts-20231204-1.git1e3a2e4.fc39.noarch cups-libs-1:2.4.8-3.fc39.x86_64 dbus-libs-1:1.14.10-1.fc39.x86_64 default-fonts-core-sans-4.0-9.fc39.noarch desktop-file-utils-0.26-9.fc39.x86_64 emacs-filesystem-1:29.3-1.fc39.noarch expat-2.6.2-1.fc39.x86_64 flexiblas-3.4.4-1.fc39.x86_64 flexiblas-devel-3.4.4-1.fc39.x86_64 flexiblas-netlib-3.4.4-1.fc39.x86_64 flexiblas-netlib64-3.4.4-1.fc39.x86_64 flexiblas-openblas-openmp-3.4.4-1.fc39.x86_64 flexiblas-openblas-openmp64-3.4.4-1.fc39.x86_64 fontconfig-2.14.2-6.fc39.x86_64 fontconfig-devel-2.14.2-6.fc39.x86_64 fonts-filesystem-1:2.0.5-12.fc39.noarch freetype-2.13.1-2.fc39.x86_64 freetype-devel-2.13.1-2.fc39.x86_64 fribidi-1.0.13-2.fc39.x86_64 gc-8.2.2-4.fc39.x86_64 gcc-13.3.1-1.fc39.x86_64 gcc-c++-13.3.1-1.fc39.x86_64 gcc-gfortran-13.3.1-1.fc39.x86_64 gcc-plugin-annobin-13.3.1-1.fc39.x86_64 gettext-0.22-2.fc39.x86_64 gettext-envsubst-0.22-2.fc39.x86_64 gettext-libs-0.22-2.fc39.x86_64 gettext-runtime-0.22-2.fc39.x86_64 glib2-2.78.6-1.fc39.x86_64 glib2-devel-2.78.6-1.fc39.x86_64 glibc-devel-2.38-18.fc39.x86_64 glibc-headers-x86-2.38-18.fc39.noarch gnutls-3.8.5-1.fc39.x86_64 google-noto-fonts-common-20240101-1.fc39.noarch google-noto-sans-vf-fonts-20240101-1.fc39.noarch graphite2-1.3.14-12.fc39.x86_64 graphite2-devel-1.3.14-12.fc39.x86_64 guile22-2.2.7-9.fc39.x86_64 harfbuzz-8.2.1-2.fc39.x86_64 harfbuzz-devel-8.2.1-2.fc39.x86_64 harfbuzz-icu-8.2.1-2.fc39.x86_64 java-17-openjdk-1:17.0.11.0.9-1.fc39.x86_64 java-17-openjdk-devel-1:17.0.11.0.9-1.fc39.x86_64 java-17-openjdk-headless-1:17.0.11.0.9-1.fc39.x86_64 javapackages-filesystem-6.1.0-10.fc39.noarch jbigkit-libs-2.1-26.fc39.x86_64 kernel-headers-6.9.4-100.fc39.x86_64 libICE-1.0.10-11.fc39.x86_64 libRmath-4.3.3-2.fc39.x86_64 libRmath-devel-4.3.3-2.fc39.x86_64 libSM-1.2.3-13.fc39.x86_64 libX11-1.8.9-1.fc39.x86_64 libX11-common-1.8.9-1.fc39.noarch libX11-devel-1.8.9-1.fc39.x86_64 libX11-xcb-1.8.9-1.fc39.x86_64 libXau-1.0.11-3.fc39.x86_64 libXau-devel-1.0.11-3.fc39.x86_64 libXcomposite-0.4.5-10.fc39.x86_64 libXext-1.3.5-3.fc39.x86_64 libXft-2.3.8-3.fc39.x86_64 libXft-devel-2.3.8-3.fc39.x86_64 libXi-1.8.1-2.fc39.x86_64 libXmu-1.1.4-3.fc39.x86_64 libXrender-0.9.11-3.fc39.x86_64 libXrender-devel-0.9.11-3.fc39.x86_64 libXt-1.2.1-5.fc39.x86_64 libXtst-1.2.4-3.fc39.x86_64 libb2-0.98.1-9.fc39.x86_64 libblkid-devel-2.39.4-1.fc39.x86_64 libdatrie-0.2.13-7.fc39.x86_64 libffi-devel-3.4.4-4.fc39.x86_64 libfontenc-1.1.6-3.fc39.x86_64 libgfortran-13.3.1-1.fc39.x86_64 libicu-73.2-2.fc39.x86_64 libicu-devel-73.2-2.fc39.x86_64 libjpeg-turbo-2.1.4-3.fc39.x86_64 liblerc-4.0.0-4.fc39.x86_64 libmount-devel-2.39.4-1.fc39.x86_64 libmpc-1.3.1-3.fc39.x86_64 libpng-2:1.6.37-15.fc39.x86_64 libpng-devel-2:1.6.37-15.fc39.x86_64 libquadmath-13.3.1-1.fc39.x86_64 libquadmath-devel-13.3.1-1.fc39.x86_64 libselinux-devel-3.5-5.fc39.x86_64 libsepol-devel-3.5-2.fc39.x86_64 libstdc++-devel-13.3.1-1.fc39.x86_64 libthai-0.1.29-6.fc39.x86_64 libtiff-4.4.0-8.fc39.x86_64 libtirpc-devel-1.3.4-1.rc3.fc39.x86_64 libwebp-1.3.2-2.fc39.x86_64 libxcb-1.13.1-12.fc39.x86_64 libxcb-devel-1.13.1-12.fc39.x86_64 libxcrypt-devel-4.4.36-2.fc39.x86_64 libxml2-devel-2.10.4-3.fc39.x86_64 lksctp-tools-1.0.19-4.fc39.x86_64 lua-5.4.6-3.fc39.x86_64 lua-posix-36.2.1-3.fc39.x86_64 make-1:4.4.1-2.fc39.x86_64 mkfontscale-1.2.2-4.fc39.x86_64 mpdecimal-2.5.1-7.fc39.x86_64 nettle-3.9.1-2.fc39.x86_64 nspr-4.35.0-19.fc39.x86_64 nss-3.99.0-1.fc39.x86_64 nss-softokn-3.99.0-1.fc39.x86_64 nss-softokn-freebl-3.99.0-1.fc39.x86_64 nss-sysinit-3.99.0-1.fc39.x86_64 nss-util-3.99.0-1.fc39.x86_64 openblas-0.3.21-6.fc39.x86_64 openblas-openmp-0.3.21-6.fc39.x86_64 openblas-openmp64-0.3.21-6.fc39.x86_64 pango-1.51.0-1.fc39.x86_64 pcre2-devel-10.42-1.fc39.2.x86_64 pcre2-utf16-10.42-1.fc39.2.x86_64 pcre2-utf32-10.42-1.fc39.2.x86_64 pixman-0.42.2-2.fc39.x86_64 python-pip-wheel-23.2.1-2.fc39.noarch python3-3.12.3-2.fc39.x86_64 python3-libs-3.12.3-2.fc39.x86_64 python3-setuptools-67.7.2-7.fc39.noarch sysprof-capture-devel-45.1-1.fc39.x86_64 tcl-1:8.6.12-5.fc39.x86_64 tcl-devel-1:8.6.12-5.fc39.x86_64 tk-1:8.6.12-5.fc39.x86_64 tk-devel-1:8.6.12-5.fc39.x86_64 tre-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 tre-common-0.8.0-41.20140228gitc2f5d13.fc39.noarch tre-devel-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 ttmkfdir-3.0.9-69.fc39.x86_64 tzdata-2024a-2.fc39.noarch tzdata-java-2024a-2.fc39.noarch xdg-utils-1.1.3-15.fc39.noarch xml-common-0.6.3-61.fc39.noarch xorg-x11-fonts-Type1-7.5-36.fc39.noarch xorg-x11-proto-devel-2023.2-2.fc39.noarch xz-devel-5.4.4-1.fc39.x86_64 zlib-devel-1.2.13-4.fc39.x86_64 Complete! Finish: build setup for R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm Start: rpmbuild R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.CT5ZQ0 + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf adelie + /usr/bin/mkdir -p adelie + cd adelie + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/adelie_1.0.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + rm -rf /builddir/build/BUILD/adelie-SPECPARTS + /usr/bin/mkdir -p /builddir/build/BUILD/adelie-SPECPARTS + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';' + '[' -d adelie/src ']' + find adelie/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d adelie/src ']' + find adelie/src/Makevars adelie/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';' + find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.30U2iK + umask 022 + cd /builddir/build/BUILD + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd adelie + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.5HcKkr + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64 ++ dirname /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64 + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd adelie + mkdir -p /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64/usr/local/lib/R/library adelie * installing *source* package ‘adelie’ ... ** package ‘adelie’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (GCC) 13.3.1 20240522 (Red Hat 13.3.1-1)’ using C++17 g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c RcppExports.cpp -o RcppExports.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_configs.cpp -o rcpp_configs.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_configs.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_constraint.cpp -o rcpp_constraint.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_constraint.h:2, from rcpp_constraint.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_glm.cpp -o rcpp_glm.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_glm.h:2, from rcpp_glm.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ rcpp_glm.h:166:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_glm.h:173:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ rcpp_glm.h:203:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ rcpp_glm.h:203:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ rcpp_glm.h:205:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ rcpp_glm.h:212:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_glm.h:214:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_glm.h:215:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_glm.h:215:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits >::Scalar = double]’ rcpp_glm.h:166:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> > >]’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:300:30: required from ‘static auto adelie_core::glm::GlmCox::init_weights_size_to(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:368:45: required from ‘adelie_core::glm::GlmCox::GlmCox(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const std::string&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; std::string = std::__cxx11::basic_string]’ /usr/include/c++/13/bits/stl_construct.h:119:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::glm::GlmCox]’ rcpp_glm.h:235:1: required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}]’ rcpp_glm.cpp:31:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::glm::GlmCox]’ rcpp_glm.h:235:1: required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}]’ rcpp_glm.cpp:31:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::glm::GlmCox]’ rcpp_glm.h:235:1: required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}]’ rcpp_glm.cpp:31:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper > >’ rcpp_glm.h:105:17: required from ‘void adelie_core::glm::GlmMultiS4::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ rcpp_glm.h:97:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ rcpp_glm.h:105:29: required from ‘void adelie_core::glm::GlmMultiS4::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ rcpp_glm.h:97:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > > > >’ rcpp_glm.h:105:37: required from ‘void adelie_core::glm::GlmMultiS4::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ rcpp_glm.h:97:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:163:35: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:79: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:25: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:30: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:23: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:41: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:47: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:59: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:67: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:31: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:31: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:74: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:37: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:33: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:16: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:27: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:39: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:47: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:83: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:83: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:50: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:62:25: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:62:64: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:63:13: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:65: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:26: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:75: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:87: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:95: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:67:32: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:67:32: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:38: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:24: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:19: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:22: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:48: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:17: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:32: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:48: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:54: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:17: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:83:50: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:19: required from ‘void adelie_core::glm::GlmMultiGaussian::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:35: required from ‘void adelie_core::glm::GlmMultiGaussian::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:75: required from ‘void adelie_core::glm::GlmMultiGaussian::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:63: required from ‘void adelie_core::glm::GlmMultiGaussian::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:63: required from ‘void adelie_core::glm::GlmMultiGaussian::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:30: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:18: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:37: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:33: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:57: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:50:50: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:58:22: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:55:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:58:35: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:55:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:147:35: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:21: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:79: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:25: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:148:30: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:38: required from ‘void adelie_core::glm::GlmPoisson::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:29: required from ‘void adelie_core::glm::GlmPoisson::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:24: required from ‘void adelie_core::glm::GlmPoisson::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:40:24: required from ‘void adelie_core::glm::GlmPoisson::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:33:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:40:28: required from ‘void adelie_core::glm::GlmPoisson::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:33:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:29: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:38: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:76: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:80: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:25: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:35: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:29: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:42: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:80: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:84: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:25: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:30:29: required from ‘void adelie_core::glm::GlmGaussian::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:30:24: required from ‘void adelie_core::glm::GlmGaussian::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:44: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:32: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:51: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:47: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:25: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:32: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:35: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:399:21: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:424:48: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:424:37: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:428:27: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:429:96: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:429:27: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:428:45: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:442:40: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:442:33: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:484:33: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:484:36: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:483:45: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:491:32: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:491:27: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:497:47: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:497:40: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:27: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:40: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:21: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:532:33: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:64: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:71: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:77: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:533:44: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:48: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:69: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:75: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:543:41: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:30: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:43: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:25: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:20: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:115:54: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_pdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:33: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:115:29: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_pdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:33: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:24: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:20: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:31: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:15: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:41: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:54: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:50: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:65: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:45: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:37: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:39: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:33: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:20: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:40: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:15: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:76: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:59: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:83: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:54: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:46: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:151:24: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:32: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:11: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:41: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:35: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:26: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:32: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:15: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:62: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:68: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:47: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:39: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:163:26: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:50: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:38: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:33: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:29: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:24: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:32: required from ‘void adelie_core::glm::GlmBinomialLogit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:22: required from ‘void adelie_core::glm::GlmBinomialLogit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:40: required from ‘void adelie_core::glm::GlmBinomialLogit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:46: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:49: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:63: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:72: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:54: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:27: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:19: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:34: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:16: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:41: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:79: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:79:25: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:584:35: required from ‘ExpressionType& Eigen::VectorwiseOp::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; int Direction = 0]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:24: required from ‘void adelie_core::glm::GlmMultiGaussian::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:20: required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; ATType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; SType = Eigen::Array; TType = Eigen::Array; UType = Eigen::Array; OutType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:24: required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; ATType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; SType = Eigen::Array; TType = Eigen::Array; UType = Eigen::Array; OutType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ rcpp_glm.h:42:14: required from ‘void adelie_core::glm::GlmS4::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_glm.h:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:97: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:93: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:62: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:49: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:532:53: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:535:18: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:545:14: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:165:15: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::InnerStride<1> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:507:42: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:9: required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; ATType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; SType = Eigen::Array; TType = Eigen::Array; UType = Eigen::Array; OutType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1: required from ‘ResultType Eigen::internal::member_maxCoeff::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1: required from ‘ResultType Eigen::internal::member_maxCoeff::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_io.cpp -o rcpp_io.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_io.h:2, from rcpp_io.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref >’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:196:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:202:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:312:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:363:16: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_matrix.cpp -o rcpp_matrix.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_matrix.h:2, from rcpp_matrix.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref >’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:196:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:202:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:173:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ rcpp_matrix.h:252:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ rcpp_matrix.h:252:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:272:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ rcpp_matrix.h:280:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_matrix.h:282:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:283:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37: required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense, int>’ rcpp_matrix.h:297:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_matrix.cpp:25:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:312:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3, from rcpp_matrix.h:4: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:363:16: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:24:38: required from ‘class adelie_core::matrix::MatrixCovSparse, int>’ /usr/include/c++/13/type_traits:1417:30: required from ‘struct std::is_convertible, int>*, adelie_core::matrix::MatrixCovBase*>’ /usr/include/c++/13/bits/shared_ptr_base.h:1269:12: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/type_traits:1040:25: required by substitution of ‘template using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr, int> >&}]’ /usr/include/c++/13/type_traits:1045:12: required from ‘struct std::is_constructible, __gnu_cxx::_S_atomic>, const std::shared_ptr, int> >&>’ /usr/include/c++/13/bits/shared_ptr.h:178:8: required by substitution of ‘template template using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if, _Args ...>::value>::type [with _Args = {const std::shared_ptr, int> >&}; _Tp = adelie_core::matrix::MatrixCovBase]’ /usr/include/c++/13/bits/shared_ptr.h:350:9: required by substitution of ‘template std::shared_ptr >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixCovSparse, int>; = ]’ rcpp_matrix.h:291:1: required from ‘RMatrixCovSparse64F::RMatrixCovSparse64F(Args&& ...) [with Args = {const long unsigned int&, const long unsigned int&, const long unsigned int&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’ rcpp_matrix.cpp:46:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits > >::match, 0, Eigen::Stride<0, 0> > >]’ rcpp_matrix.h:261:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::matrix::MatrixCovDense, int>; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixCovDense, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixCovDense, int>]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::matrix::MatrixCovDense, int>; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::matrix::MatrixCovDense, int>]’ rcpp_matrix.h:289:1: required from ‘RMatrixCovDense64F::RMatrixCovDense64F(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’ rcpp_matrix.cpp:27:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:75:27: required from ‘adelie_core::matrix::MatrixNaiveSNPUnphased::MatrixNaiveSNPUnphased(const io_t&, size_t) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; io_t = adelie_core::io::IOSNPUnphased >; size_t = long unsigned int]’ /usr/include/c++/13/bits/stl_construct.h:119:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>; _Alloc = std::allocator; _Args = {const RIOSNPUnphased&, const long unsigned int&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const RIOSNPUnphased&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const RIOSNPUnphased&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>; _Args = {const RIOSNPUnphased&, const long unsigned int&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::matrix::MatrixNaiveSNPUnphased, int>]’ rcpp_matrix.h:308:1: required from ‘RMatrixNaiveSNPUnphased64::RMatrixNaiveSNPUnphased64(Args&& ...) [with Args = {const RIOSNPUnphased&, const long unsigned int&}]’ rcpp_matrix.cpp:121:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ rcpp_matrix.h:203:20: required from ‘void adelie_core::matrix::MatrixNaiveS4::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ rcpp_matrix.h:196:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:409:18: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:385:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from rcpp_matrix.h:12: ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp: In instantiation of ‘void adelie_core::matrix::MatrixNaiveRSubset::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’: ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:385:10: required from here ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:176:36: note: initializing argument 4 of ‘void adelie_core::matrix::MatrixNaiveBase::cov(int, int, const Eigen::Ref >&, Eigen::Ref >, Eigen::Ref >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 176 | Eigen::Ref out, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:20: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:34: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:130:44: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:131:27: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:152:46: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:153:28: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:153:28: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:226:18: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:229:17: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:229:17: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:41: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:86:37: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:102:40: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:34: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:34: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:25: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:39: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:117:32: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:21: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:120:20: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:123:42: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:124:22: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:131:37: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:34: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:25: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:46: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:60: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:88: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:83: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:181:72: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:184:18: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:185:67: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:217:36: required from ‘adelie_core::matrix::MatrixNaiveStandardize::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:25 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:220:60: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:188:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:225:52: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:24: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19: required from ‘adelie_core::matrix::MatrixNaiveSparse, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:22 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::Ref >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:109:26: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:185:49: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::OuterStride<> >, 0>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:185:59: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:299:53: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:193:64: required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:193:67: required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:192:43: required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:315:42: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:26: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:42: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:62: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:333:28: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:24: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:24: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:352:62: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:354:30: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:355:38: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:39: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:42: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:423:47: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:32: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:52: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:86: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:65: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:65: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:87: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:483:40: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:40: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:37: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:28: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:77:38: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:105:49: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:41: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:54: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:54: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:23: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:71:31: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:75:26: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:91:44: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:140:69: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:140:91: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:86: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:94: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate > > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:53: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:53: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:170:31: required from ‘void adelie_core::matrix::MatrixNaiveDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:161:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:481:27: required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:461:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:38: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:25: required from ‘void adelie_core::matrix::MatrixCovSparse::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:36: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:49: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:58: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:87: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:50: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:31: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:31: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:85:25: required from ‘void adelie_core::matrix::MatrixCovDense::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:79:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:85:13: required from ‘void adelie_core::matrix::MatrixCovDense::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:79:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_block_diag.hpp:210:22: required from ‘void adelie_core::matrix::MatrixCovBlockDiag::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_block_diag.hpp:188:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:404:48: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:404:60: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:613:36: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:613:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:42: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:56: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:65: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:51: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:64: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:60: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:73: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:64: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:73: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:643:32: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:84:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:104:25: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:129:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:70:56: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29: required from ‘ExpressionType& Eigen::VectorwiseOp::operator/=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ExpressionType = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; int Direction = 1]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:184:31: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29: required from ‘ExpressionType& Eigen::VectorwiseOp::operator/=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; ExpressionType = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; int Direction = 0]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:185:31: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:688:32: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:688:32: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:30: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:21: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::Ref > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:345:14: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:28: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:60: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:46: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, true>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, true>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:29: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:26: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:256:29: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:256:62: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:22: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:51: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:19: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:250:27: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:207:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::Ref > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:15: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:28: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:60: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:46: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:26: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:22: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:61: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:47: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> > >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> > >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:22: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:51: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:25: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:25: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:47: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:57:59: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:108:62: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:108:71: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:136:45: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:147:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:221:45: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:231:45: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:80: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:104: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:151:30: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:151:76: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr::Type Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:184:72: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:184:81: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:74: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:243:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:273:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:54: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:46: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:40: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:379:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:392:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:406:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:227:13: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:7: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> > >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false> > >, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:82: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:68: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:158:20: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose, 0, Eigen::OuterStride<> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::OuterStride<> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:157:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:232:20: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:134:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:145:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:219:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:229:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:31: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:241:27: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:271:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:377:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:390:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:404:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:346:24: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:368:22: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:638:27: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref >]’ rcpp_matrix.h:125:13: required from ‘void adelie_core::matrix::MatrixNaiveS4::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_matrix.h:119:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper > >; U = Eigen::MatrixWrapper > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper > >; Derived = Eigen::MatrixWrapper > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, 1, -1, false>; Derived = Eigen::Block > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, 1, -1, false> >; Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:691:18: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:35: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Ref > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:89: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:605:21: required from ‘auto adelie_core::matrix::snp_phased_ancestry_dot(const IOType&, int, const VType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseNullaryOp, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:297:65: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:30: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Ref >, const Eigen::Ref > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, 1, -1, false>; Derived = Eigen::Block > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:35: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:13: required from ‘void adelie_core::matrix::MatrixCovSparse::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref, 0, Eigen::OuterStride<> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:13: required from ‘void adelie_core::matrix::MatrixCovSparse::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; Src = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; Src = Eigen::CwiseUnaryOp, const Eigen::Ref > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Derived = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:24: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:24: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18: required from ‘Derived& Eigen::ArrayBase::operator-=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:84:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18: required from ‘Derived& Eigen::ArrayBase::operator-=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:129:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block, 1, -1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block, 1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:30: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:15: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block > >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block > >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Matrix; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper > >; SrcXprType = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper > >; SrcXprType = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:481:46: required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:461:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:47: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:47: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, 1, -1, false> >; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, 1, -1, false> >; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper > >; U = Eigen::MatrixWrapper > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper > >; Derived = Eigen::MatrixWrapper > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, 1, -1, false>; Derived = Eigen::Block > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, 1, -1, false> >; Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseUnaryOp, const Eigen::Ref > >; OutType = Eigen::VectorBlock, 0, Eigen::OuterStride<> >, 0>, -1>; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:186:50: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:345:14: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:134:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:145:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:219:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:229:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:31: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:241:27: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:271:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:377:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:390:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:404:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:50:59: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ActualLhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19: required from ‘adelie_core::matrix::MatrixNaiveSparse, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:22 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Dest = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::MatrixWrapper > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:907:22: required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:47: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Block, -1, -1, true>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; RhsT = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Func = Eigen::internal::assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19: required from ‘adelie_core::matrix::MatrixNaiveSparse, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:22 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::SparseShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:32: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DenseRhsType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; DenseResType = Eigen::Matrix; LhsEval = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; Res = Eigen::Matrix; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::SparseShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:32: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block >, 1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block >, 1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator > > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >; Functor = Eigen::internal::add_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel > > >, Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::add_assign_op, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, false>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Block, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, true> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Derived = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Block, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_solver.cpp -o rcpp_solver.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_solver.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ rcpp_glm.h:166:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_glm.h:173:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ rcpp_glm.h:203:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ rcpp_glm.h:203:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ rcpp_glm.h:205:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ rcpp_glm.h:212:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_glm.h:214:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_glm.h:215:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_glm.h:215:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:173:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ rcpp_matrix.h:252:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ rcpp_matrix.h:252:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:272:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ rcpp_matrix.h:280:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_matrix.h:282:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:283:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37: required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense, int>’ rcpp_matrix.h:297:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:312:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3, from rcpp_matrix.h:4, from rcpp_solver.cpp:3: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:363:16: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:37:52: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:105:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:39:29: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:105:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:42:34: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:105:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:122:35: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:122:35: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:44: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:44: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:17:36: required from ‘auto adelie_core::solver::compute_lmda_max(const AbsGradType&, ValueType, const PenaltyType&, ValueType) [with AbsGradType = Eigen::Array; ValueType = double; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:301:36: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:345:29: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:24: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:96: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:60: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:28: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:272:29: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:273:46: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:274:29: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:274:35: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:275:43: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:57: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:42: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:375:22: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:375:32: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:30: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:44: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22: required from ‘static void Eigen::internal::sparse_vector_assign_selector::run(Dest&, const Src&) [with Dest = Eigen::SparseVector; Src = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78: required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:39:18: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:105:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits >::Scalar = double]’ rcpp_glm.h:166:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> > >]’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:27: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:68: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:44: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:39:15: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:30: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:259:23: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:259:23: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:142:23: required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:104 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:105 = adelie_core::glm::GlmBase; auto:106 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:146:21: required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:104 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:105 = adelie_core::glm::GlmBase; auto:106 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:21: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:25: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:148:30: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:458:23: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:98 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:99 = double; auto:100 = bool; auto:101 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:458:23: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:98 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:99 = double; auto:100 = bool; auto:101 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:156:23: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:31: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:58: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:168:43: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:61: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:179:41: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:92:24: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Scalar&) [with _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 1; int _MaxRows = 1; int _MaxCols = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:123:15: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:22:8: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:365:42: required from ‘void adelie_core::solver::gaussian::pin::naive::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:452:10: required from ‘void adelie_core::solver::gaussian::pin::naive::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:58: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:45: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:72:33: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:40: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:55: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:53: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:92:39: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:92:42: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:423:13: required from ‘adelie_core::solver::gaussian::pin::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:62 = long unsigned int; value_t = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:85:35: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:114:33: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:118:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false> >, Eigen::Matrix, 0>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:119:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:130:36: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:448:13: required from ‘adelie_core::solver::gaussian::pin::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:63 = long unsigned int; auto:64 = Eigen::VectorBlock, -1>; auto:65 = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; auto:66 = Eigen::VectorBlock, -1>; auto:67 = double; auto:68 = double; auto:69 = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:131:35: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:136:37: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:136:61: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:147:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:147:65: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false> >, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false> >, Eigen::Transpose >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:147:51: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:151:26: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:54: required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; VarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:142:39: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:42: required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; VarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:142:39: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:22: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:144:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:35: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:144:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:29: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:144:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:17: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:144:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:193:10: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:271:39: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:275:56: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:64: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:67: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:102 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:103 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:38: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:31:34: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:20: required from ‘auto adelie_core::bcd::root_upper_bound(const DiagType&, const VType&, ValueType, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:208:48: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:38: required from ‘auto adelie_core::bcd::root_upper_bound(const DiagType&, const VType&, ValueType, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:208:48: required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:36: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:40: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:23: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:53: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:142:54: required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:104 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:105 = adelie_core::glm::GlmBase; auto:106 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:67: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:67:20: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:67:15: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:79:28: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:83:11: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:78:22: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:52 = double]’ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:79:34: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:52 = double]’ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:101:15: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18: required from ‘Derived& Eigen::ArrayBase::operator-=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:27: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from ‘Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:450:24: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:153:45: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:61: required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; VarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:142:39: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:48: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:144:23: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:75:9: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22: required from ‘static void Eigen::internal::sparse_vector_assign_selector::run(Dest&, const Src&) [with Dest = Eigen::SparseVector; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78: required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:273:13: required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::SparseVector(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ /usr/include/c++/13/bits/new_allocator.h:191:4: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:245:31: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:75 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:76 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:77 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:29:40: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:136:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:52: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:67: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:80:24: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:52 = double]’ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; StepType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ValueType = double; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:64: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:83:14: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:52 = double]’ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; StepType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ValueType = double; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:64: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:31:55: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:56:38: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80: required from ‘PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; Rhs = const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >, Eigen::internal::assign_op, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:791:80: required from ‘PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; Rhs = const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >, Eigen::internal::assign_op, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 1, -1, false> >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 1, -1, false> >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1, -1, false> >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 1, -1, false> >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 1, -1, false> >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1, -1, false> >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 1, -1, false> >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 1, -1, false> >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1, -1, false> >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:107 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:108 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:109 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:90 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:143:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:86 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:82 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:83 = double; auto:84 = bool; auto:85 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:30:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const>, 0, true>::run, -1, 1, false> >(Eigen::Block, -1, 1, false>&, Eigen::Block, -1, -1, false> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product::run(long, double const*, long, double const*, double*, double)’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_state.cpp -o rcpp_state.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_constraint.h:2, from rcpp_state.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:196:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:202:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ rcpp_matrix.h:252:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:272:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ rcpp_matrix.h:280:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_matrix.h:282:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:283:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37: required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense, int>’ rcpp_matrix.h:297:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ rcpp_state.cpp:382:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianNaive64*), void (*)(RStateGaussianNaive64*, PROP), const char*) [with PROP = ]’ rcpp_state.cpp:382:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_state.cpp:31:16: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ rcpp_state.cpp:382:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianNaive64*), void (*)(RStateGaussianNaive64*, PROP), const char*) [with PROP = ]’ rcpp_state.cpp:382:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_state.cpp:49:18: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ rcpp_state.cpp:382:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianNaive64*), void (*)(RStateGaussianNaive64*, PROP), const char*) [with PROP = ]’ rcpp_state.cpp:382:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:312:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3, from rcpp_matrix.h:4, from rcpp_state.h:3, from rcpp_state.cpp:2: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:252:34: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ rcpp_state.cpp:49:9: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ rcpp_state.cpp:382:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianNaive64*), void (*)(RStateGaussianNaive64*, PROP), const char*) [with PROP = Eigen::SparseMatrix]’ rcpp_state.cpp:382:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:56:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:59:48: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:51: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:63: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:72:76: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:76:46: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:76:46: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:92:19: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:92:39: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:92:55: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:92:83: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:92:42: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> > >]’ rcpp_matrix.h:261:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:46: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:66: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:66: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:58: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:45: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:66:35: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:72:33: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:40: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:55: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:53: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ rcpp_state.cpp:49:9: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ rcpp_state.cpp:382:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianNaive64*), void (*)(RStateGaussianNaive64*, PROP), const char*) [with PROP = Eigen::SparseMatrix]’ rcpp_state.cpp:382:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:57:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:73:7: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:252:9: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from ‘Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:450:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:92:30: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:56:18: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:92:30: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:261:16: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:83:67: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:39:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const>, 0, true>::run, -1, 1, false> >(Eigen::Block, -1, 1, false>&, Eigen::Block, -1, -1, false> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product::run(long, double const*, long, double const*, double*, double)’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o adelie.so RcppExports.o rcpp_configs.o rcpp_constraint.o rcpp_glm.o rcpp_io.o rcpp_matrix.o rcpp_solver.o rcpp_state.o -fopenmp -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64/usr/local/lib/R/library/00LOCK-adelie/00new/adelie/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘adelie’ finding HTML links ... done glm.binomial html glm.cox html glm.gaussian html glm.multigaussian html glm.multinomial html glm.poisson html grpnet html io.snp_phased_ancestry html io.snp_unphased html matrix.block_diag html matrix.concatenate html matrix.dense html matrix.interaction html matrix.kronecker_eye html matrix.lazy_cov html matrix.one_hot html matrix.snp_phased_ancestry html matrix.snp_unphased html matrix.sparse html matrix.standardize html matrix.subset html set_configs html ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (adelie) + test -d adelie/src + cd adelie/src + rm -f RcppExports.o rcpp_configs.o rcpp_constraint.o rcpp_glm.o rcpp_io.o rcpp_matrix.o rcpp_solver.o rcpp_state.o adelie.so + rm -f /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64/usr/local/lib/R/library/R.css + find /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64@@g '{}' ';' + /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.0.0-1.fc39.copr7622553 --unique-debug-suffix -1.0.0-1.fc39.copr7622553.x86_64 --unique-debug-src-base R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/adelie find-debuginfo: starting Extracting debug info from 1 files DWARF-compressing 1 files sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64 1016 blocks find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/redhat/brp-mangle-shebangs + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4 + /usr/lib/rpm/redhat/brp-python-hardlink Processing files: R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64 Provides: R-CRAN-adelie = 1.0.0-1.fc39.copr7622553 R-CRAN-adelie(x86-64) = 1.0.0-1.fc39.copr7622553 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(GOMP_4.5)(64bit) libgomp.so.1(OMP_1.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: R-CRAN-adelie-debugsource-1.0.0-1.fc39.copr7622553.x86_64 Provides: R-CRAN-adelie-debugsource = 1.0.0-1.fc39.copr7622553 R-CRAN-adelie-debugsource(x86-64) = 1.0.0-1.fc39.copr7622553 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-adelie-debuginfo-1.0.0-1.fc39.copr7622553.x86_64 Provides: R-CRAN-adelie-debuginfo = 1.0.0-1.fc39.copr7622553 R-CRAN-adelie-debuginfo(x86-64) = 1.0.0-1.fc39.copr7622553 debuginfo(build-id) = e3e6461634803880617be7a6b750ebce2c921d54 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-adelie-debugsource(x86-64) = 1.0.0-1.fc39.copr7622553 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64 Wrote: /builddir/build/RPMS/R-CRAN-adelie-debugsource-1.0.0-1.fc39.copr7622553.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-adelie-debuginfo-1.0.0-1.fc39.copr7622553.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.azAwtj + umask 022 + cd /builddir/build/BUILD + cd adelie + /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.JqSW9F + umask 022 + cd /builddir/build/BUILD + rm -rf /builddir/build/BUILD/adelie-SPECPARTS + rm -rf adelie adelie.gemspec + RPM_EC=0 ++ jobs -p + exit 0 RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm Finish: build phase for R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1718673815.729950/root/var/log/dnf.rpm.log /var/lib/mock/fedora-39-x86_64-1718673815.729950/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1718673815.729950/root/var/log/dnf.log INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-adelie-1.0.0-1.fc39.copr7622553.src.rpm) Config(child) 4 minutes 46 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "R-CRAN-adelie-debuginfo", "epoch": null, "version": "1.0.0", "release": "1.fc39.copr7622553", "arch": "x86_64" }, { "name": "R-CRAN-adelie-debugsource", "epoch": null, "version": "1.0.0", "release": "1.fc39.copr7622553", "arch": "x86_64" }, { "name": "R-CRAN-adelie", "epoch": null, "version": "1.0.0", "release": "1.fc39.copr7622553", "arch": "src" }, { "name": "R-CRAN-adelie", "epoch": null, "version": "1.0.0", "release": "1.fc39.copr7622553", "arch": "x86_64" } ] } RPMResults finished